Inspiration

•Observed the challenge of meal planning with dietary needs, preferences, and available ingredients.
•Untitled was created to help users find personalized recipes based on what they have at home, reducing food waste and promoting healthier eating.

What it does..

Recommends personalized recipes based on available ingredients, dietary preferences, and past choices. Learns and refines suggestions based on user feedback.

How we built it?..

Gathered a diverse recipe database and categorized them by ingredients, cuisines, and dietary tags. Used machine learning for personalized recommendations through collaborative and content-based filtering. Added features like ingredient-based search and recipe suggestions based on user preferences.

Challenges we ran into..

Ensuring diverse recipe options for various dietary needs. Fine-tuning ingredient matching to improve recipe compatibility. Engaging users for consistent feedback.

Accomplishments we're proud of..

Ingredient-based recommendations that help users cook with what they already have. Personalized suggestions that adapt to user tastes and dietary restrictions. Positive user feedback and strong retention rates.

What we learned...

User-centered design and continuous feedback are key for success. Personalizing food preferences and dietary needs requires time and data. Engaging users and making the platform intuitive is essential for long-term use.

What's next for Untitled

Integration with grocery delivery services for seamless ingredient ordering. Expanding the recipe database, especially for international cuisines and specialty diets. Adding voice assistant integration and features for meal planning and shopping lists.