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research analysis
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research agentic ai dashboard
What Inspired Us
We've all been there — spending hours digging through research papers, blog posts, and articles just to get a clear understanding of a topic. Whether it's for a college assignment or just personal curiosity, research is often way more time-consuming than it should be.
That’s what sparked this project. We thought: “What if we could build something that actually helps do the research for us?” With tools like GPT-4 and platforms like LangChain becoming more accessible, we decided to build a research assistant that could search, read, and summarize information all on its own.
What It Actually Does
Our project is a tool that can:
Take a research topic from the user Search the internet or academic databases like arXiv Read through the results (even PDFs or web pages) Summarize the key takeaways Then give the user a simple, clean report — like a research summary
You can ask it something like: “Find and summarize the 5 most important papers about agentic AI in 2024” ...and it will handle the whole process.
What We Learned We learned a lot through this project:
How to break a big task into smaller steps and use an LLM to plan and execute them How to work with different APIs and get them to return reliable data How to deal with long documents and token limits by chunking and summarizing in pieces Most importantly, how to build something that’s actually useful from scratch
