Food-Calorie Tracker

Detect food, count calories, and track your daily intake in one place – powered by YOLOv8.

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🌟 Demo

📸 Upload image → get instant calorie estimation
📹 Real-time webcam detection
📊 Daily & weekly calorie dashboard
📄 Export clean PDF report

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🚀 Quick Start (local)

1. Clone repo

   git clone https://github.com/VincentiusJacob/FoodCaloriesTracker.git
   cd FoodCaloriesTracker

2. Install dependencies

   python -m venv venv
   source venv/bin/activate
   pip install -r requirements.txt

3. Run app

   streamlit run app.py

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📁 Project Structure

FoodCaloriesTracker/
├── app.py
├── home.py                         # landing page
├── track_calories.py               # upload & detect
├── track_calories_realtime.py      # webcam live
├── reports.py                      # daily / weekly summary
├── pdf_report.py                   # export PDF
├── model/final_model_nano.pt       # YOLOv8n weights
├── history/                        # calorie logs
└── exports/                        # PDF output folder

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🍽️ Supported Foods

Ayam Goreng, Capcay, Nasi, Sayur Bayam, Sayur Kangkung, Sayur Sop, Tahu, Telur Dadar, Telur Mata Sapi, Telur Rebus, Tempe, Tumis Buncis, food-z7P4

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📝 Usage Flow

1. Upload or real-time webcam
2. Confirm “Are you eating this?” → saved to history
3. View daily & weekly calorie trend
4. Export PDF for sharing / archiving

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Webcam only works on HTTPS domains – allow camera permission when prompted.

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