Make the most of your food - Powered by AI
FridgeToFeast (FTF) is a project for the fourth-semester course "Integrative Project II" (ST0251) taught at EAFIT University by professor Paola Vallejo, and developed by Alejandro Ríos, Danniela Zárate, Luis Torres, and Sara Cortes.
FTF is an AI-based web application that analyzes kitchen ingredients to provide a variety of tailored recipes, promoting efficient and healthy meal planning.
- Optimized Recipes: Simply add everything stored in your kitchen, and through our AI system, we can generate optimized recipes based on certain specifications such as preferences, quantities, type of cooking, etc.
- Analytical Tools: We also provide analytical tools to understand eating behavior.
FTF addresses the challenge of deciding what to cook with the available ingredients, which can lead to unhealthy food choices and food waste. We seek to optimize our users' food for optimal use.
- Powerful AI System: For the creation of customized recipes.
- Data Science and Analytics: For understanding eating behaviors.
- Resource Optimization: To avoid waste.
- User Support: To get better food.
- Time Reduction: For cooking.
- Simple and Engaging User Experience.
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Clone the repository.
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Create and activate a virtual environment (optional, but strongly recommended).
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Install dependencies with
pip install -r requirements.txt -
Set your OpenAI API key as an environment variable with
export OPENAI_API_KEY=your_api_key_here -
Apply migrations with
python manage.py migrate -
Create a superuser with
python manage.py createsuperuser -
Run
python manage.py runserver -
Access
localhost:8000from a modern web browser.
For more detailed information about the project, please refer to the wiki.
Copyright (c) 2024, Alejandro Rios, Danniela Zárate, Luis Torres, Sara Cortes. All rights reserved FTF.