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Calorify---Intelligent-Nutrition-Health-Tracker-Using-YOLO-and-LLMs

Calorify is an AI-powered web application that detects food items using YOLO, estimates calories, summarizes uploaded medical reports, and provides personalized advice via a smart chatbot.

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🚀 Features

• 🍽️ Food Detection using YOLO
  Scan your food through your camera and detect food type with real-time calorie estimation.

• 🤖 Personalized AI Chatbot
  Get dietary suggestions, healthy meal ideas, and fitness advice based on your health profile.

• 📄 Medical Report Summarizer
  Upload medical reports (PDF/Image/Text) and get an easy-to-read summary using NLP and LLMs.

• 📊 Calorie Tracker
  Tracks user’s daily calorie intake and generates graphical reports.

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🛠️ Tech Stack

• Frontend: HTML, CSS, JavaScript
• Backend: Python, Flask
• ML Model: YOLOv8 (Ultralytics)
• NLP/LLM: OpenAI GPT or HuggingFace Transformers
• Database: MongoDB (or SQLite/PostgreSQL)
• Deployment: Render/Heroku/Vercel (Optional)

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📸 Screenshots

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🔍 How to Run Locally

git clone https://github.com/----------/calorify.git
cd calorify
python -m venv env
source env/bin/activate  # or env\Scripts\activate on Windows
pip install -r requirements.txt
python app.py
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# Calorify--Intelligent-Nutrition-Health-Tracker-Using-YOLO-and-LLMs
An AI-powered health companion that uses YOLOv8 for food recognition and calorie estimation, integrates an OpenAI chatbot for user interaction, and employs Gemini API for medical report summarization. Built with Flask, HTML/CSS/JS, and OpenCV, featuring an intuitive UI and real-time insights.
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