A user-friendly AI-powered application built using Python and Gradio to predict calorie content and provide personalized diet recommendations based on food composition. This project bridges ML with healthcare and nutrition domains.
- ✅ Predict calories from food data (fat, protein, carbs, etc.)
- ✅ Personalized diet recommendations
- ✅ Clean and interactive Gradio interface
- ✅ Easy deployment on Colab or local machine
- ✅ Lightweight and beginner-friendly code
This project uses a supervised regression algorithm trained on food composition datasets. Based on user input (fat, carbs, protein), it predicts calorie value and classifies the input into a risk category. Additionally, it gives diet recommendations to improve nutritional balance.
| Area | Tools |
|---|---|
| Language | Python |
| Data Analysis | Pandas, NumPy |
| ML Algorithm | Linear Regression |
| GUI | Gradio |
| IDE | Google Colab / Jupyter |
| Version Control | Git + GitHub |