WhatsApp Todo Extractor using DeepSeek API

This project extracts to-do tasks from exported WhatsApp chats using the DeepSeek API.
It supports recognizing varied languages and spelling errors to generate a structured JSON list of tasks with timestamps.

Features

• Parses WhatsApp chat exports (.txt files).
• Extracts to-do items in English and Hindi.
• Handles common spelling mistakes and variations.
• Outputs to-do list in JSON format with timestamps.

Tech Stack

• Python (for backend processing)
• DeepSeek API (for natural language understanding)
• Flask (for serving API/backend)

Setup Instructions

1. Navigate to backend:

   cd backend

2. Create and activate a virtual environment (optional but recommended):

   python3 -m venv venv
   source venv/bin/activate  # Linux/Mac
   venv\Scripts\activate     # Windows

3. Install dependencies:

   pip install -r requirements.txt

4. Run the Flask app:

   python app.py

Usage

• Export WhatsApp chats as .txt files.
• Upload the file via the frontend or call the backend API to extract todos.
• Receive JSON with todo items and timestamps.

Notes

• Virtual environment folder (venv) is excluded from Git.
• DeepSeek API key is needed for extraction — configure it in your environment variables or config files.