Rig Veda Analyzed using AI

I analyzed Rig Veda using Data Science (here is what I found)

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Inspiration

I tool inspiration for this project from historian youtuber old Compass he is an Indian American YouTubers who makes various History documentaries on Indian History this got me interested in Histrory and as I am a student of Engineering, I thought what if I could make a blend or mixture of History and AI hence this project is my foundation to the future of my career.

What it does

I tried to explain the story of Rig Veda in a simplest format to anyone within an extremely short time span. I want to stuff maximum information of the text within 30 seconds of viewing the section of page or even smaller duration if possible.

How we built it

I used python and its modules like NumPy, Pandas, Matplotlib to build first prototype. Then I used GenAI help to present all of my work as a static website so that it is easy to view for a normal judge. I don't winna waste a lot of time for judge. I build the framework of website myself (not that much professional as I am not a full-time web developer) but for visualization of graphs and other stuff by genAI and some help from stack overflow

Challenges we ran into

  1. Building in python was cakewalk but presenting website took double the time because I am not a professional web developer, so it takes a bit of time in stack overflow and other pages.

  2. It was challenging to decide which graph would convey most information

Accomplishments that we're proud of

I think my biggest accomplishment is that I could convey most information to the end user within shortest time possible (because this is a world of very short time span)

What we learned

I learn that making model is one thing but presenting specially to attention hungry modern era is completely other thing, so I need to understand it a bit

What's next for Rig Veda Analyzed using AI

I plan to make a startup related to history and culture that is dedicated to taking Indian history and culture to its greatest heights

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