How can AI be leveraged to create intelligent systems that adapt to individual needs while supporting critical decision-making in complex, time-sensitive environments?
Cookly.io is an AI assistant designed to suggest meals based on photos of the user’s fridge and pantry contents. The goal is to eliminate the hassle of meal planning while reducing food waste.
- Market Need: A significant portion of food waste is caused by poor planning and forgetfulness. Cookly.io addresses this, appealing to budget-conscious, eco-friendly, and health-aware consumers.
- Technical Feasibility: Image recognition AI services are readily available through cloud providers, making this solution achievable when paired with a recipe database.
- Scalability: The assistant could expand into additional features like dietary tracking, shopping suggestions, and customized recipes.
- Competition: Similar functionality is available in other AI platforms, like general-purpose GPT models.
- Image Recognition Accuracy: Correctly identifying all items, especially leftovers (e.g., pizza or pasta), may be challenging.
- Recipe Integration: Licensing recipe databases or developing a comprehensive one that can filter by diet restrictions and allergies is complex and may increase costs.
- Day 1-2: Research and select an image recognition API and a recipe database; outline app architecture.
- Day 3: Develop a prototype to identify food items and suggest recipes based on database matching.
- Day 4: Test the prototype with sample images; gather preliminary feedback on accuracy and usability.
- Day 5: Refine the image recognition and recipe suggestion logic based on feedback.
- Day 6: Implement final adjustments and prepare a demo for the hackathon presentation.
- Day 7: Final testing and documentation.
This project was created as part of the AI Innovation Hackathon 2024. Our goal is to push the boundaries of AI to enhance daily life while fostering sustainability.