✨ Project Highlights
? Food image classification across multiple categories (apple, banana, carrot, etc.)
? Nutrition estimation linked to recognized food items
? Interactive Streamlit web app for real-time predictions
? Fully compatible with Google Colab and local setups
? Dataset & Training
? Trained on datasets such as Fruits and Vegetables Image Dataset
? Includes preprocessing, normalization, and augmentation steps in the notebook
?️ Technologies Used
? TensorFlow / Keras for modeling
? Streamlit for deployment
? Python, NumPy, Pandas, Matplotlib, PIL
? Looking Ahead
? Expand to more food categories
? Enhance accuracy with transfer learning (MobileNetV2, EfficientNet, etc.)
? Add allergen detection & dietary recommendations