Fluxa is an innovative AI-powered platform designed to help users generate recipes based on the contents of their fridge. By simply uploading a photo of their fridge, Fluxa uses advanced image recognition models to detect the ingredients and suggest relevant recipes. It employs a custom-trained YOLO (You Only Look Once) model to analyze the image and identify ingredients, making it easy to create delicious meals based on what you already have.
- Ingredient Detection: Utilizes a custom-trained YOLO model to accurately identify the ingredients in a photo of your fridge.
- Recipe Generation: Provides recipe recommendations based on detected ingredients, helping users minimize food waste and explore new meal options.
- User-Friendly Interface: Easy-to-use web application where users can upload a single image and get real-time recipe suggestions.
- Upload an Image: The user takes a photo of their fridge's contents and uploads it to the platform.
- Ingredient Detection: Fluxa employs a YOLO model to detect and classify the ingredients visible in the image.
- Recipe Suggestion: Using the list of detected ingredients, Fluxa generates a variety of recipes for the user to choose from.
The ingredient detection model uses a custom-trained YOLO architecture optimized for identifying common household items and food ingredients. YOLO is a state-of-the-art object detection framework that performs real-time image analysis, making it highly efficient for this use case.
The application is deployed using a combination of Flask for the backend and React for the front end, ensuring a seamless user experience. The backend handles image processing and recipe generation, while the front end provides an intuitive interface for users to interact with.
The application is available online at Fluxa.
This project includes logos and visual assets, including a Medium-size logo located at assets/logo.png.
This project is proprietary and closed-source.
For more information, please contact the project team. """