Foodinary is a web-based platform designed to promote and educate users about the rich diversity of Indonesian traditional cuisine. It provides comprehensive information about various regional dishes, their origins, ingredients, recipes, and taste profiles. The platform also features a Machine Learning-based food recognition tool that identifies dishes through images.
- 📖 Detailed information on traditional foods across Indonesia:
- Names, regions, ingredients, recipes, history, and taste profiles
- 🔍 Image-based food recognition using Machine Learning
- 💡 Educational and tourism-focused content for domestic and international users
- 📱 Fully responsive design (desktop & mobile support)
- Frontend:
- Backend:
- Machine Learning:
- Database:
- Deployment:
The ML model is trained to recognize various traditional Indonesian dishes from images. Each sample in the dataset includes:
- Dish name
- Regional origin
- Main ingredients
The model is integrated into the platform via a Python-based API, allowing users to upload food photos for instant identification and further exploration.
- User uploads a food photo.
- Image is processed by the ML model.
- Model returns food name, origin, and ingredients.
- Platform displays detailed information and similar dishes.
- Domestic tourists
- International travelers
- Culinary enthusiasts
- Cultural researchers & educators