FridgePal is a project designed to simplify and enhance the cooking experience using artificial intelligence. By leveraging technologies such as computer vision and convolutional neural networks, FridgePal identifies items in a user's fridge and generates custom recipes based on their preferences, dietary restrictions, and nutritional needs.
AI
TensorFlow: Framework used for building and training the neural network.
OpenCV: Library used for capturing and processing images from a camera, which are then fed into the TensorFlow model.
OpenAI API: Used to generate custom recipes using data from AI model.
Website
PostgreSQL: Databse for storing user data.
Node.js & Express.js: Backend technologies for RESTful services.
ReactJS: Frontend library for the user interface. This is where users can select certain allergies to restrict, a calorie amount, and what meal of the day they are having.