Unlocking AI Tools for Students and Researchers

1. Unlocking AI Tools for Students and Researchers: Hello, everyone. Imagine having access to powerful AI tools that can transform the way you learn, conduct research, and manage your academic life, all tools that most people have never even heard of. Welcome to Unlocking AI for students and researchers. You gateway to discovering hidden AI gems that go beyond the mainstream tools like TGPT and Mid Journey. This course introduces innovative tools developed by researchers, start ups and universities labs designed to simplify complex topics, speed up your research and help you organize your ideas like never before. Whether you're a student aiming to exams, a researcher striving to publish groundbreaking papers or someone passionate about learning. These tools will help you work smarter, not harder from summarizing dense textbooks to creating impact representation and analyzing data in minutes. These are a lesson known but highly effective tools can revolutionize how you learn. In a survey conducted in the Silicon Valley of India, seven out of ten people were unaware of these tools, and five out of ten were amazed by the potential. So are you ready to discover the AI tools that make learning easier, faster and more enjoyable? And let's start your journey towards smarter learning today? Thank you. 2. Learn better with Illuminate AI Tool: Hello, everyone. Today, I want to show you an interesting AI tool. It is from Google. It is called Illuminate. You can use it to learn your way. This tool will help you learn better. Normally, when you come across a research paper, then you have to sit down and read the entire research paper to understand it. But what Google Illuminate does is that you can copy URL to the research paper. You can put it into Illuminate. It will convert the entire research paper into a very interesting podcast, which is an interesting conversation between two people, which will help you understand the entire subject. Using this, you can transform your research paper into artificial intelligence generated audio summaries with Illuminate, which is a generative tool for understanding complex content faster. So you can access this tool by coming to Google and typing in Google Illuminate. Once you are inside the website, which I have already logged in. So this is the website. Here you can see three parts, home, generate my library. If you need some help, then you can come here. This is the health module. So let me show you what you can do with it. So do you see this audio discussion on Artificial intelligence report? So now if you look into the source of it, you can see the research report. So this is the article, so I have opened so this is the entire report. This has a lot of information. Going through all this information will take a lot of time. So I will create an audio conversation for this. So this is already generated, you can play it. So let me play that for you. Ready to break down some research? This paper, Artificial Intelligence Index Report 2024 explores the rapid advancements and growing influence of artificial intelligence AI in our world. I'm ready. It's absolutely incredible how fast AI is evolving. It certainly is. The report emphasizes how AI's impact on society has never been more pronounced. It dives into technical advancements, public perception, and geopolitical dynamics surrounding AI development. Can you elaborate on some of the key finding? Oh, absolutely. This year's Okay, so now if you go to help, you can get more information. So what is Illuminate? Illuminate is an experimental technology that uses artificial lens to adopt web content to your learning preferences. After you provide a URL, Illuminate will attempt to generate an audio dialog with two AI generated voices discussing the key points of the content. Be aware that Illuminate may not be able to process all web content, including paywall material sites that have opted out of AI indexing and content flagged by the safety E filters. So about selecting papers and generating an audio discussion. So once signed in, you can paste the URL of any web content you wish to convert to audio. Currently uses a permitter up to 20 audio generations per day. So you can just past the URL content into the input field and press generate. So there is also search available, which is currently supported for axiv.org. So you can type the topic you are interested in the search box, tap on the search icon, select the paper you want to illuminate to use. So when your list is ready, just tap and add and then press on Gengrad. So depending on the traffic, content length and source availability, audio generation may take a few minutes. So if error occur, we can refer to the provider message for details. Generated audio conversations are deleted after 30 days unless you save them to your personal library. So when generation is completed, you can press the Play button to listen to the new generated audio conversation. You can tap the save button to save the generated audio conversation to your personal library. So the generated audio conversation are deleted after 30 days unless you save them to your library. So library, you can access the library by tapping the library button. The library contains two sections, personal, here, you can find and manage all the audio conversation you generated with eliminate and saved. Audio conversation you generate can be removed from the personal library by tapping delete in the overflow menu. Public in this section, you can listen to the selection of public available generated audio conversation. Sources in this library, each generated audio conversation is based on a published academic paper. You can tap the source to access the original paper and view details, including title and author. We can listen to this audio discussion by tapping on Play button. So that is how the help section gives you more information about things here. So now let's see how it works. So now let us try to generate a podcast or audio discussion. So before you do that, we will need a URL to a research article. So let me take this example of AI taking away jobs, a research article. So this is one article that I found. So let me copy the link. So let me copy the link to this article. So after copying it, I will come here and click on Generate So here I can paste the URL. Then I can press on this ad button. So now it's asking me to define the audio dialog, whether you want to be casual, formal, guided, free form, have selected casual. So voices for optimal performance, the voice pairing has been automatically selected for you. So this is the host and this is the guest. So there is the generate button. So I can generate it now. So let me click on generate so it has started generating. So it will take around 3 minutes to generate it. I have already generated it. Now let me play it. So this is the one which is already generated. This conversation is powered by Google Illuminate. Check out illuminate.google.com for more. So robots taking over our jobs. Is that a sci fi fantasy or our near future? Sounds a bit dramatic, right? Not as dramatic as you might think. This paper dives into how AI and automation are already changing the game. Seriously? Like, my Brest is about to So if you go to this article and try to read that entire article, you'll have to spend a lot of time. So this is a new way to learn. So using this tool, you can learn better. You can save time. So I hope this AI tool will help you in your learning process. Thank you. 3. STORM AI help with Wikipedia style research article: Hello, everyone. Today, I wanted to show you an interesting AI tool. It's called Storm from Stanford University. You can come to this website called storm dotjnttfor dot ADU. Using this tool, you can get a Wikipedia like report on your topic with artificial intelligence. Like Wikipedia, which is user generated here, artificial indigence will generate a custom Wikipedia like article 0N the topic of your choice. Storm is a research prototype that supports interactive knowledge curation. This entire project was born in Stanford out of assisting in writing Wikipedia like articles from scratch with large language models. So there are many people who work behind it. So this is how it works at high level so it will continuously read and ask questions. Based on the iterative approach, the entire Wikipedia article is generated, based on the topic of your interest. So I'll show you how to use it. So after you log it, so you can log into this website using your Google account. Now you will see various articles that is generated already. So you can see CStom interactive, storm autonomous. So now if I go here, I can see storm article, CStom conversations. So CStom conversation is like a round table discussion. So let us see one of them. So I see this one. So once it loads, you can see how the conversation has been used to write the article. So this is the conversation, and this is the article that it has written out of it. So you can see the entire conversation. This is the article. Now, let us look at how you can create your own Article. So for this, I'll type in a topic of my interest. So I'm seeing how RG GIS can be leveraged for supply chain management in India. So he's asking me motivation. You'll have to provide the purpose of writing this article, which is to complete an academic project. So I'll say to complete an academic project. So here, general Internet search is used. I'll say start. So once cyclicon start is starting to generate the article. So it will take around 3 minutes. Now you see it started identifying different perspectives for researching the topic. Now it is browsing the Internet on sites like SR. So it is asking questions, so it is browsing on its own. As you can see, these are the sites it is looking for. All these sites are very relevant to our topic. So after it has browsed the Internet, it is leveraging the internal knowledge of the large language model to organize the information it has collected. So now it is finishing the browsing, as you can see. Almost it has finished the browsing. So immediately after that, now it's generating the article. So this is where the language model has been used. Now here, the generation of article has started. It has started writing and drafting the article. So once it is done, it will be available to us. So I have already generated it. Now you can see how can GIS be leveraged? So let me open that for you. So this is the article. So let's read through this article once. RGIS in supply chain management in India is a sophisticated geographic information system platform that plays a pivotal role in optimizing supply chain management across various sectors in India. By integrating geospecial data with supply chain analytics, RGS provides organized powerful tools for visualization, analyzing and enhancing their operational efficiencies. So it has provided very relevant numbers also, so you can see references. Just like you see in Wikipedia. This all custom made and tailor made to your needs. So there is a big article. A lot of sections have been created based on the main topic that you have suggested. And there is also an option to download the the information as PDF. If you go back here, you have an option of providing feedback also. You can also provide feedback so that it helps improve the tool. So I hope this AI tool will help you with research. Thank you very much. A 4. Dataline Interact with your data with privacy: Hi, everyone. Today, I wanted to introduce to you new AI tool. It's called datine dot app. So this tool will help you with your data. So Dataline is an AI driven, open source and privacy first platform for data exploration. Your data is accessed using your device and stored on your device. So they claim no clouds, only sunshine. So if you are using data for various analysis in LLM models, normally what happens is that the data is passed on to third party servers and they have access to your data, and they can use your data for any purpose. So by using this tool, you make sure that that data sits locally, and all the analysis that you do is done locally from your system. So I'll show you how you can use it. You can use it for generating various insights out of your data. You can even ask you to plot various graphs and visualizations like Bar chart you see here. You can plug into your database securely. You can cone to various data sources. You can ask, explore, edit, and Iraate with various questions. So this is how they compare, so data line and Chat GPD plus. I suppose database is like post GRE, MySQL, SQLite, CSU, data sources from various sources. Thing is stored on the Cloud. That is one advantage that you have here. Data visualization is possible. It is open source. So I'll show you how you can install it. You can go here and say install, then you can download it for Windows. If you're using a Windows system, you can use it for Mac OS, or you can use it for Linux. So after you have downloaded for Windows, I can show you how it works. We just come here and click on datine dot X file. So once you click on data line dot EX file, it will ask you to input your Open AI key. That is your API key in Open AI. So you can easily generate it by going to OpenAI website and creating OpenAI key. So once you put that information, I already put that information, you will enter this screen. Here you can add new connections. It could be any data source. So you can set up a new connection by clicking here. It could be SQL, CSU file, Excel, or would be SAS BFle so here I am using a sample data sets of data is about DVD rental. So let me create a sample data using DVD rental data. So let me create the sample. So this is my data. So let me go there and click on it. Now if you see here, it is running in my local host. So that way all my data is sitting in my system and it is not passed on to any other third party servers, and I am still using OpenAI's intelligence here using that API key. So I'll ask, what are the example questions that I can ask based on this? So it is generating so, meanwhile, I will also ask you to generate the table of the underlying data. So these are what are the top ten films by highest rental revenue. So let me copy that and paste it here. So it will give me output. So mine is SQL database, so it will give me the query in the escuL code also. So this is the total rental revenue. So I ask you to show the base table. Show me the base table. Show me the base table with all columns for ten rows, so if I type it here, I should be able to see the table that has been used in the data. So you can use various queries here so you can see here various columns title, description, title of the movie, description, release here, language ID, Rundle duration, Rundle date, length, replacement cost, rating, special features, last update date. So in this way, you'll be able to interact with your data. I'll ask what are visualizations we can create with this data visualizations. Create with this data. So I'll show you how it is useful for you in your research. So if you have a data and if you don't know what all visualizations you can create this data, then this is extremely useful. We can come here and ask you to create various visualization. So I'll say, create a bar chart. Now I know what all visualization can be done using this. I'm asking you to create this bar chart. Now I also ask you to create while it is parating it, I'll also ask you to create one more chart. So let me come here and ask you to create one more chart. Created on a chart showing the distribution of films in different countries. So this is another visualization that is asking I'm asking to create, as you can see. So here in Q rod saying that country ID is not there. So let me go to another visualization. Create a bar chart showing distribution by each category. This should be there. Create visualization. Showing the distribution of films in each category. So now it is creating this data visualization. Now, let's see the output of it. As you can see, It is still generating the result. You should be able to see a bar chart. As you can see here, this is the ba chart, you can save it. And if you want to change to a line chart, you can change it to a donut chart, as you can see. This way it is very interactive. You can interact with your data and create various visualizations. So this can be used in your research or your office work. I hope this information is useful. Thank you very much. 5. NotebookLM your personalized research assistant: He llo, everyone. Today, I wanted to show you yet another useful tool called Notebook alum from Google. You can use the power of AI for Kok summarization and note taking. Notebook alum is your powerful virtual research assistant, which is rooted in your information that you can trust. So it has been launched by Google, especially it uses Google Gemini to assist users in interacting with the documents. It can generate summaries, explanation answers based on content that is uploaded by users. So how much does it cost to use this? So it is absolutely free. That is why I would recommend you to use this in your research. So if you're conducting a research, you can upload multiple sources of information and use that to generate insights or notes and which later you can use it in your entire research article that you prepared. So you can access Notebook M by coming to Google and typing in Notebook M. So you will see the notebooklm dot Google link. So once you enter it, you will reach the main homepage of the website. Here you can see the ultimate tool for understanding the information that matters most to you, which is built with Gemini 1.5. Here you can connect with your Google account and login. So here it also shows you what things it can do. You can upload PDF websites, YouTube videos, audio files, Google documents or Google Slide, and Notebooks lm will summarize them and make interesting connections between topics, all powered by Gemini's 1.5 multimodal understanding capabilities. It can instantly generate insights with all your sources in place. With Notebook lm, it gets to work and become a personalized AI expert who will help you in your research. You can see the sources, not just that answer. You can gain confidence in every response because Notebook alum provides clear citations for your works, showing you the exact codes from your sources. Here, they have introduced another new feature where you can listen and learn on the go. The new audio Ovie feature can turn your sources into engaging deep dive discussions with just one click. So they claim all this data is private and they don't use your personal data to train Notebook alum. So how people are using No Boogem? This is a question that you will also have and based on which you can also use it for various use cases. People are using it for power study that is uploading lecture recordings. Let's say you have mix missed lecture from your school or university and you have a recording of it. You can just come in here and upload that lecture. And after uploading the lecture, it will transcribe it and access the information from it, and it will create summary of the entire lecture. So you can get textbook chapters and research papers also, and you can ask Notebook alum to explain complex concept in simple terms. It will provide real world examples and reinforce your understanding. This way, you'll be able to learn faster and deeper. Even if you miss a few lectures, you can upload those videos here, and it will help you understand that subject. It will help you organize your thinking that is uploading your source material, and the Notebook alum creates a polished presentation outline complete with key talking points to support the evidence. It can help you spark new ideas, uploading brainstorming notes, market research, and competitive research. You can ask Notebook alum to identify trends, generate new product ideas, and uncovered hidden opportunities. People are using it for various use cases. Even you can discover completely new use case. So let me log in to this website and show you how it works. So now I have logged into Notebook M. So this is the area, so I can come here and say create new. So once I come here, it is asking me to add different sources. So I can upload up to 50 sources. So I have identified a few sources here. So let me show you this is one of the source that I have identified. This is a study on summary of study into PL Ms application. So this is the data analysis from Reid's database. This is one of my research paper. So this is another one, the future of transport. Here again, it studies pedal mis supplication study. So this is again one more research paper. Now, if I go here to Notebook M, so I have already created this area. So let me go to that area and I will upload this paper. So once it upload, I can see that as a source here on the left side. So now this is a summary of the entire report. This report investigate perl misapplication vehicles, analyzing its causes and consequences. A literature review examines existing research on driver and vehicle characteristics contributing to perl misapplication. So what factors cause perl misapplication in drivers? So it's asking me and suggesting various questions which I can ask it. So I'll ask this question. Let's see what is output it's giving. And what about output it's giving? I can save it as a note, which I can use it in my research. So this is what I asked Perl confusion, automatic automatic transmissions, driver demographics, all this player note. So I will save this note, or I will add one more data source. I'll add this paper. So now I'm adding it here. So now let's see what does it come up with. So this is the paper. I can see the paper also from my left side. So report investigate perilalfation in vehicles, analysing its causes and consequences. So what technology can mitigate peril miss accidents? So let me put that here. How can technology mitigate peril misapplication accidents? So I'm asking this question. So this is the technology that it is recommending for this. I'll say Save notes. Now, I can even upload a YouTube video. So this is one YouTube video I found. So I'll come here and upload YouTube video. So let me put YouTube link and put in this information here and say insert. Now it will go through that entire YouTube video, no matter how big that video is. So this is a video. Let me see this. So based on this, I can even ask various questions and generate a research report based on this pedal misapplication study. So in this way, I can have multiple sources. So I'll say to write a literature review, right? Write a literature review from all these sources. So let's see what it comes up with. So it is analyzing all these sources to create a literature review for me. So this is extremely useful if you're doing any research. You can have multiple sources of information rather than reading it all manually from multiple papers, YouTube videos, journals. You can put all those information, give it to AI. A will do all the crunching for you of the data and insights, it will be generated for you. So you see this is a literature review, parle misapplication, review of research on causes, consequences. So what is the current courses? What is the consequences of par misapplication? What is the mitigation strategies? What is a parallel limitations and future research. So what are the current limitations of the studies, and at the end, it gives you a conclusion. So this is how standard literature would look like. So it gives all those information in a very easy to understand format. And all these things can be saved as notes. So if I go here and save notes, this information will be available if you see citations. So this is one, two, three, you can see where exactly is that information getting pulled. So it's backed by evidence. So in this way, you will be able to use Notebook M for your research. I hope this information is useful. Thank you very much. 6. Ideate & Innovate better with this AI tool: Hi, everyone. Today, I wanted to show you an interesting tool using which you can think out new ideas that will help you in ideation. At the end, it will help you to come up with innovative ideas for your various projects. So the tool is called lbs. So you can come to this website called albus.org. So after coming to this website, you can connect with your Google account. So you will see various boards that is available. So I'll go to one board that is there, you board. So here it will create a board for me. Here in the top, you will see various models that I can use. GPT 3.5 GPT 1.5 Haiku. So there are advanced models also available, which is only available for pro version, but this can be used with unlimited use. With a free worship. So now, after coming here, I can research on any topic that I want to. I may not have any idea about that topic, but after going here and putting that information, I can get more insights about anything I want. So let's say I'm working on innovation competition to redesign a toothbrush. So I want to get more insights about toothbrush, and it's Bristols. So now if I come here, I'll mention toothbrush as the topic that I want to research. When I say toothbrush, now it will generate the inputs. A toothbrush is an essential tool for maintaining oral hygiene. So when choosing a toothbrush, it is important to consider the following. You can see the description that it generates out of it. Now, this can be a starting point for me to dig down deeper into various other aspects. Let it generate that full report of toothbrush, then I can generate further insights on top of it. Generating it. So in the left hand side, you can see, you can add a header. You can search images on the web, you can add a text, you can add a node, you can upload documents. You can generate images with AI. You can break down topics and ideas. So these are the things that you can do. Now, if you go here and do plus, it'll ask you some questions. How do Bristol's materials impact environmental sustainability? So in this way, we're to ask thought provoking questions. What are the health benefits of fluid and toothpaste? How do Bristol materials impact environmental sustainability? Now if I want, I can also say here, breakdown complex topic. Now, if I ask here, it will break down toothbrush into various components, oral hygiene, gum health, dental car routine. So let me talk about toothbrushing technique. If I say plus, let me say plus. Now it will go to the next section. It will tell me more about toothbrushing techniques. Now if I want to find out more information about it, it will generate the insights there. Now, if I click here, I can get additional information on preventing cavities and dental routine. So now if you click here, toothbrushing techniques. If I want to create an image, I can use that to create images for various toothbrushing techniques. So generating those images, as you can see. These are different techniques that is used for pressing. There's an AI assistant that is available parallel. Now, if you see how do diet impact oral health. In this way, you'll be able to follow up with various questions and dig down deeper from a main topic. That will help broaden your understanding of that and the subject. How do tricot compare to manual ones? If you click on it, you will head in that direction of thought process. You can summarize it. You can place an editable note for your reference. You can hear the audio narration of it. You can download it. Now, let's try to do some more things here. If I click on flus, it will generate more images. So I'm asking a question. How do redesign a toothbrush? Bristols. In this way, I will be able to even identify various consumer pain points that will help me develop a new product. So this is the output of how do ltricTothprss is compared to manual ones. In between I went and ask and the question how to redesign toorstals. Okay, so I want to generate more images based on that. If I click on it, it will generate images for redesigned toothbrush crystals. If I want to get inspiration from that, I can get it from here, as you can see. These are the ideas that is generating. If I want I can create more. You see various types of toothbrushes and it bristles. You can see even toothbrushes like this different types of shapes, Aetic ones. This will help you generate more ideas and innovate better in whatever research or study you are conducting. I hope this information is useful. Thank you very much. 7. Use AI generated mnemonics to help with learning: Hi, everyone. Today, I wanted to introduce you to a new tool. It's called cloud.ai. It is from a company called anthropic. So it uses Cloud 3.5 Sonet model. So it has multiple advantages. It can break down complex topics and help you understand various concepts. So I have tried various LLM tools, and I found this one very good in memorizing or generating mnemonics. So I'll show you how you can generate mnemonics using this. So I already typed in that information. So I'll say let me open that for you. So I said create mnemonics to memorize this. So these are types of leukemia, which include acute lymphatic leukemia and various other types of leukemia. So it has actually braken down how I can easily memorize it. So it has categorized the acute ones, chronic ones, and the remaining ones, it had put it as head met. So if we see the acute ones, it has generated an abbreviation. All amylav that is acute lepocytic and acute myeloid leukemia. For chronic, it has generated CLL and CML, clones like milk. That is chronic lymphocytic and myelin leukemia. So using that abbreviation, you can remember it. So it has highlighted how you can remember clones CL, CL and L. So that is how it has created the abbreviation. For others, you can use HeadMT that is CA HEA at M is this one. Would you like to make this mnemonics more specific or create alterative ones? So if I say retry, it will again try and try to make it another way. If you see here, let's see one more time. So in this way, it will help you memorize various things or various subjects by creating these mnemonics. Now, the good thing about this one is that you can actually scan an image. So let's scan an image. I'll say how you can remember these principles, how to memorize this mnemonics. These principles. Using mnemonics. Okay, so I have scanned something. This principle one, principal two, Principle three. Okay, so let's see how it has done. So here is a mnemonic using deal to remember these principles of handling people. So if you see it has used a very clever abbreviation deal. That means, which is easy to remember. So first one, it has generalized says don't criticize then express appreciation, then arouse eagerness. As lead positively. The word deals reminds us how to effectively deal with people by following these key principles. So here it has put its own thought. So this is what makes it different from other tools. So if you see deal, don't criticize, condemn or complain. Give honest and sincere appreciation. Arouse in the other person eager want. So in this way, it will help you in studying, whether you're a researcher, whether you are a student. So you can use this tool and you can use the camera here. That way, you can directly scan from your textbook to remember this or you can even take up pictures of images or diagrams like digestive system. Then you can ask questions like how you can remember this. This will be very helpful, especially for medical students who have very complicated images and all to memorize. So I hope this information is useful. Thank you very much. A 8. Google colab for research & learning: Hi, everyone. Today, again, I wanted to show you yet another interesting tool, which uses AI like Jemi from Google. So this is called as Collab, Google Colab. Google Colab is hosted Jupiter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. You might have used Python and other notebooks in your desktop, but installing Python in your desktop might be not something suitable for everyone because it needs some kind of expertise to configure it, to run it. But with Google notebooks, everything is very easy. We can just go to Google Collaps website. So this is the Google Collaps website. Here they have a getting started tutorial, and it is completely free to use. And if you want advanced resources, then you can pay and use their premium s. So if you come here, you can see the configuration setups, discs RAM. So this is what is available. So if I want to change the runtime, I can change it to CPU, GPUs and if I want additional resources or computing units, I can do that, too. But most of the task, when you run one at a time, you will be able to do it easily with a standard free wash. Once you come here, you can also see Gemini API. You can go to Google A Studios, create an APA key, and use Python to use that. So you can see various use cases that they have provided. So here also, it mentions about what is collab. So here, I'll show you what exactly you can do here. You can come to collab and you can create a new notebook which can be used to run Python codes. So if you see here within here, this is a notebook. This is calculating seconds in a day. This is a simple calculation. So if we clic this button, it will run and store that value in a variable and print the result. So it can be used for a variety of data science projects, like you can see some of the samples mentioned here. So this is the sample visualization it has created. So in your research, if you want any visualization using the data, then you can use this tool to create those custom visualizations. It also has this machine learning capabilities using which you can use it for various projects. Now, I will also show you how to leverage some of the existing interesting Google notebooks that you can leverage for your research and your study. So at a high level, this is what Google Notebook does, and you can come here and create notebooks, too. So if you see here, you have an option to create a new notebook and you can share that notebook with someone using this share button, and they can also run it without any configuration in their system. So that is an interesting functionality. And if you want to connect to a local runtime, they have an option to connect to a local runtime and run from there too. So I will show you one website or a Github repository where you can find various collab notebooks. So this is called Awesome collab notebooks. In here, you will see there are various research collab notebooks which have been mentioned here. So this helps in architecture that jointly tracks some multiple points throughout an entire video. So there are various collab notebooks that is available with description. You can click on it. Once you click on it, it will open in a new tab and you can use that for any of your project. So these are all research projects. So these are the researchers who have done that research. This helps in learning to reconstruct a three D human force and shape via model fitting in the loop. So depending on what kind of research you are into, you can use this. So there are hundreds of projects that is available. So you can easily come here and find out what exactly fits you, and you can use that for your projects. So I have opened one of the projects here. It's called Satoker. So it helps in learning realistic three motion coefficients, four stylized audio driven single image talking pace animation. So I came here and ran that. So after running it, this is the one that is generated. Now, I go here and click on Download models. So it is downloading the models that is required for this project. It also seamlessly integrates with Google Drive, so you can share your datasets in Google Drive and use that in your project. And you can share the entire Colab notebook also in Google Drive. So there are many interesting projects in collab, like increasing the age of a person, stable efficient projects, various AI related projects that is available that you can run. You can make images talk with some of the notebooks that is available there. Or you could, if you have expertise in writing code, you can write your own code and use that for various projects. So here you see it's downloading the pre trained model. It is taking some time. And you can also see what Excited is doing. You can see the progress here. Once it runs, I'll use it for various tasks as mentioned in the code. Okay, so that lines of codes are successfully run. Now, let me go to the next line. We just have to come to different sections and make that run. So I am again clicking it here. Now, it will import the widgets. Okay, so that is also done. So it's Assim choose the image name to animate. Okay, so what image name you want me to animate. So you can see this in the saved folders. This is a folder. You can see it here. I've chosen this. Now, it's asking me to select the audio from example driven audio. So this is the art seven is the example that I have provided. And it would have taken audio sample from here. So after that, I can visualize the code. So it is currently using safe tensor to create that Okay, so it is doing extraction of the source image, as you can see here. The last step is getting the results. So this is the wave file that has been provided as a sample. So if you want to provide your own file, you can provide that by keeping it in this path, then that would be used for the project. So this is one of the sample project that I'm showing you for research, there are various projects that is available that can help you with data that can help you with video that can help you with audio. So most of the things are already in place. You just need to find out what works best for your project and use that for your project. Now you can see here the provoc 70% out of fundraising almost done. Once it is done, I will show you the next step also, how it proceeds further. Meanwhile, I can also show you various quotes that is there. So if you click on the research articles or website, it will show you what that project is about. This is the GitabrePos try. This is the project. So these are the researches for various project. This is my Colab notebook. Still running. It would be interesting to see the final result, how that audio is being used in this image that I chosen, the art seven So if we come to this last session, you can see that code has run, and you can see the output. Celebrating with loved ones, enjoying the festivities and mumbling through Wisconsin's code. But for many, this year has been So I hope this way you can leverage various Google Colab notebooks that is already existing as part of research by people across the world in your projects for your research and your learning purpose. Thank you very much. 9. Use AI for generating questions & interview preparation: Hi, everyone. Today, I want to present two AI tools that will help you prepare any subject. So it will generate various questions based on any topic, and you can also decide what is the grade level that you want to prepare from kindergarten to college or graduate level questions, I can prepare about any topic. So you can come to this website called app dot coostenvl dot RG. So they have a pre plan, which is generous enough to cover most of your questions. You can also upgrade if you want more questions. So here you can come and put in any topic that you want here, or you could put based on any text, YouTube, website. So I'm just putting this URL and I'll say generate questions. So it will take some time, and after it has generated about this topic, the topic that I choose here is pedal misapplication study in vehicles, which is very specific topic, not a general topic. I purposefully took this topic so that to see the level of detail, it will go in the questions. So now if you see here, this is one which is already generated. So this is the entire script that it has generated out of that research paper that I put in. Now in the right side, you will see various questions it has generated. So some of the questions you have seen here. So if I see here, this is the learning outcome that has generated. So this is various questions it has generated. So you see here, it has comprehension where it says learning outcomes. So what is the learning outcome of this? So define the factors contribute to pedal misapplication, identify definition of pedal misapplication. This is the context of it. Now, if you come here, let me remove that filter, you see the various questions. What does pedal misapplication refer to? That is pressing the wrong pedal using the accelerator instead of the brick. So it has created very clever options. What can lead to confusion between the gas and the brie barrels. Having too many passengers destruction or unfamility with the vehicle, driving with both feet, driving at night. So in this day, it has very cleverly thought out other options also and created this entire questions. That is multiple choice questions. So this will be very helpful if you are a teacher or a professor to generate questions from any topic very quickly. Now I will cover another tool which can help you prepare for interviews. It is from Google. It's called interview warm up. So if you're taking attending an interview, then you can use this tool. It is free to use. It is a quick way to prepare for your next interview in UX design or any topic that you want. So how it works is you can come here and it will ask you various questions. You can answer it, and it will transcribe that answer, and you can practice your interview questions. So it will check for various job related terms, most used words, talking points, and give you feedback. And based on that, you can keep improving. So let's try that out. So I'm going to start practicing. So now it's asking what is a field that you want to practice on. I'll say data analytics. Okay, so answer five interview questions. When you're done, review your answers and discover the insights. Hi. Let's practice an interview for data analytics. What are you looking for in your next job? Okay, so let me answer that. I'm looking for a job where I can use various data analysis skills and dashboarding skills that I have acquired and apply to my day to day work Thank you. Okay, let's see what it has transcribed. I'm looking for a job where I can use experience and analysis skill, dashboarding skills that I have required and applied to my day to day work. Okay, so it is looking for job related terms. These terms are analysis, most are words to check for talking points. So I have given only a very brief overview that I'd like to talk more about. So let's check the next question. Tell me about a time you made a mistake. How did you communicate that mistake? Okay, so it is asking me for a time when I made a mistake. How did I communicate that mistake? I deleted one of the SQL tables in the database. So when I came across it, I informed my manager immediately and we talked to the database team to restore it, and my manager helped me restore it. Got it. Okay, so that is the answer that I gave. So now I can check for job related terms, scale table database. Most use words. None of them, friend, found. There are words you have used three or more times talking points. If you just talking for situational questions. Click the talking points to get the tips. Not all data or inputs for analysis arrive in perfect condition. Explain some of the errors or problems you might look for as part of the data cleaning process. I will look for extreme cases where the minimum and maximum. This will give me an idea of how the data is. So I will look for mean median mode to see how the remaining data combines it with that so that I can find out these extreme cases in my data cleansing exercise. I will also define the data types of various columns in the uh, dataset to clearly understand my dataset to see if any junk values are present in any of these columns. This way, I can cleanse the data. I can also use various dashboarding tools like Tableau, Power BI or Excel to identify the peak points which are the extreme cases to cleanse the data. So I give it a long. Got it here. Thanks for sharing. So let's see what it has come up with. Okay, so this is talking point. So just disable For technical questions. Okay, let's see. When is it useful to connect internal data to external data? For example, what might we find out by connecting SDA sales data to weather data? Okay, that is a really difficult question. It's asking me what how will it help us to see internal data with external data. We will connect internal data with external data if we want to establish a linkage between various things like sales data in a region during hot weather condition. So during hot weather, people became more thirsty and it might drive the sales of soda. So that way, if we want to marry to data, then we can use those kinds of integration. Got it. Okay, so now let's see a look at here. Most use words, job related terms, okay? Your analysis shows that the changes your manager made to the sales process are reducing revenue. You present this and your manager says, You must have made a mistake. How do you respond? Okay, so this is a situation question. You analysis show that changes your manager made to the sales process are reducing the revenue. You present this and your manager says, You must have made a mistake. How do you respond? I will explain to my manager about the changes I made, and I will also explain to my manager about the changes that he has made, and I will present all the facts and figures. And I will try to make my manager understand based on facts and figures, rather than me explaining it, I will let the data do the talking. Okay, so let's see. Got it. Thank you. Like the talking points to get which one you covered. So there is lessons learned, examples, results. There's no talking point directed. Okay? So now I'll say. So concres you did it. Let's review. So this is a review. So this way, you'll be able to prepare for an interview with various topics, whether it is data analytics, it will generate as many questions as you want. I hope this information is useful. Thank you very much. 10. Discover & analyze scientific papers: Hi, everyone. Today, I want you to introduce to our AI driven tool, which will help researchers with various research related activities. It's called Si space. The website is typeset dot Iu. So most of the features are available for free. If you want additional functionality, you can get the upgraded version here. So if you come here, you can have that option of chat with PDF. So you can upload any research paper and get that information in very easy to get format. So let's look at what this chat with PDF is. You can upload any file. So I have already uploaded some of my files there. So let's look at it. So you can upload it. Can try a sample. So let me go to home and show you how it works. This is chat with PDF. This is my notebooks. Okay, so now here, if I say chat with PDF, we can upload any PDF. I'm uploading this file. Now, after I upload it, I can chat with it and get all the information that I want. Okay, so it's upload it. No, it has ps questions. I'll say conclusions from this paper. Or I could type in any questions that I want. Now, you see. It is drawing conclusions from this paper. So if I want to get a ok summary, it will generate a summary. So this is the conclusion that it has generated. So in this way, instead of reading the entire research paper, I can just ask questions in it and read through that information. That is chat with PDF. Now if I want to conduct a literature review about a topic of my interest, so I could ask about anything. Now I'm just asking about how does climate change impact biodiversity? So it will compare analyst relevant papers that matches with your search. So this is various papers. So it is doing that literature review, and you can save that to notebook. Now if you want AI writer to write research paper with confidence, you can take the help. It is not completely automated, it helps you in writing research papers. If you want to find topics on which you would want to go deeper within research paper to exact extra insightful topics, then you can do that using this tool. There is something called paraphraser, which will help you rephrase certain sentences. So that is clear and original. Then there is citation generator. You can just put in world for example, this so it will generate that article and help you with formatting your citation. You see this this is a general article. This been generated in very easy to understand format, which you can add to the citation. If you want extra data from a research paper, get summary conclusions and findings from that, you could do those with this example. If you want to detect if any related content is used, then you can do that using this tool where you could put in text or you could upload a PDF and it will analyze. You can analyze both scientific and non scientific papers. Now, if you see, there is one more option that you see. It's called PDF two VDO. You could upload a PDF here, and it'll convert it into Video. So I'll show you want to see sample. In healthcare systems. The detailed flowchart showcases the intricate connections between suppliers, laboratories, and hospitals. So it'll add the subtitles and transitions and voiceover. So this tool can be very useful. I hope this information's useful. Thank you very much. A