AI Research Assistant

A full-stack web app that lets you upload research PDFs and ask AI questions about them.

Your PDFs are processed into text → chunked → embedded → stored → semantically searched → then Gemini answers using only relevant document context.

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Live Demo

Frontend

https://research-assistant-frontend-2cm4.onrender.com

Backend

https://research-assistant-wheu.onrender.com

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Features

• Upload PDF research papers
• Extract and chunk PDF text
• Create embeddings using Google Gemini embeddings
• Store documents + embeddings in MongoDB Atlas
• Ask questions in multiple styles:
• Expert
• Beginner
• Explain-to-a-Kid
• Analogy Mode
• AI answers grounded on your PDF
• Light / Dark mode UI
• Fully deployed on Render

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Tech Stack

Frontend

• React + Vite
• TailwindCSS
• Fetch API

Backend

• Node.js + Express
• MongoDB + Mongoose
• Google Gemini API
• pdf-parse
• dotenv
• cors

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Run Locally

Clone repo

git clone https://github.com/KushagraB424/Research_Assistant.git

Backend

cd server npm install npm start

Runs at: http://localhost:5000

Frontend

cd client npm install npm run dev

Runs at: http://localhost:5173

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Credits

Built by Kushagra Gupta