Vesper – AI-Powered Research & Writing Toolkit

Overview

Vesper is an AI-powered platform designed for researchers, students, and creators to refine, humanize, and interact with content and code. It supports tasks like PDF summarization, code debugging, text generation, and literature review — all via a clean, React-based interface backed by FastAPI.

Key Features

• Text Generation using Cohere and Google's Generative AI
• PDF Summarization with section-wise analysis
• Semantic Search powered by OpenAlex
• Code Assistance for debugging, explaining, and completing code
• Text Humanization for smoother and more natural phrasing
• Automated Literature Reviews for academic research

Technologies

• Backend: FastAPI, Cohere API, Google Generative AI, PyMuPDF
• Frontend: React, Axios, CSS Modules

How to Run the Project

Run Locally

Backend

1. Navigate to the backend directory:

   cd backend

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Start the backend server:

   uvicorn main:app --host 127.0.0.1 --port 8000

Frontend

1. Navigate to the frontend directory:

   cd frontend

2. Install dependencies:

   npm install

3. Start the development server:

   npm start

4. Access the website at:

   http://localhost:3000
   

Run with Docker

1. Ensure Docker is installed and running.
2. Navigate to the project directory:

   cd AI_agent

3. Build and start the containers:

   docker-compose up -d --build

4. Access the website:
   • Frontend: http://localhost:3000
   • Backend API Docs: http://localhost:8000/docs

Deployment

• Frontend: Deploy on platforms like Vercel.
• Backend: Deploy on platforms like Render.
• Set REACT_APP_BACKEND_URL in the .env file to point to your backend URL.

Contributing

Feel free to contribute to this project by submitting issues or pull requests.