/food-lens-backend

Flask Backend for Food Lens app: Processes scanned food items, retrieves nutrition data, and manages diet logs.

Primary LanguagePython

Firebase Image Analysis and Diet Logging API

Author: Basith

Description

This Flask application provides an API for uploading and analyzing food images using Firebase Firestore and LogMeal API. It also allows logging food items to a diet log collection.

Features

  • Image Upload and Analysis

    • Upload images of food items for nutritional analysis.
    • Preprocess images and send them to LogMeal API to retrieve nutritional data.

  • Diet Logging

    • Add meals with nutritional data to a diet log collection.
    • Retrieve and display the history of scanned food items and diet logs.

  • Chatbot Integration

    • Implement a chatbot using GenerativeAI to respond to user messages.

Requirements

  • Flask
  • firebase-admin
  • Pillow (PIL)
  • requests
  • google.generativeai (Google LLM Library)

Environment Variables

Ensure the following environment variables are set:

  • API_TOKEN: LogMeal API token
  • GEMINI_API_KEY: Gemini API key for GenerativeAI

Usage

  1. Clone the repository:

    git clone https://github.com/MuhammedBasith/food-lens-backend.git
cd food-lens-backend

  2. Install dependencies:

    pip install -r requirements.txt

  3. Set up environment variables:

    • Create a .env file and define API_TOKEN and GEMINI_API_KEY.

  4. Start the Flask server:

    python server.py

API Endpoints

  • Upload Image

    • POST /api/upload-image: Upload and analyze an image of a food item.

  • Add to Diet Log

    • POST /api/add-to-diet: Log a meal with nutritional data to the diet log.

  • Get Scanned Items History

    • GET /api/get-scanned-items: Retrieve the history of scanned food items.

  • Get Diet Logs for Calendar

    • GET /api/calendar/diet-logs: Retrieve diet logs for display on a user calendar.

  • Chatbot Interaction

    • POST /api/chatbot: Interact with a chatbot to generate responses using GenerativeAI.

License

This project is licensed under the MIT License - see the LICENSE file for details.