🧪 BrainRot AI Recipe Generator
Transform your food photos into creative, hilarious recipes with AI magic. Rotcipe blends technology, humor, and culinary creativity to redefine how you cook and share food.

• Inspiration
• What It Does
• How We Built It
• Challenges We Faced
• Accomplishments
• What We Learned
• What's Next
• Built With
• Getting Started
• Contributing
• License

Cooking can be daunting, especially when unsure what to make from ingredients at hand. Rotcipe was inspired by the need to simplify cooking while adding a fun and creative twist. The project aims to make cooking enjoyable and accessible, blending AI with internet culture.

Rotcipe processes your food photos to:

1. Identify visible ingredients.
2. Refine the ingredient list into a cohesive set.
3. Generate quirky, Gen Z-inspired recipes with humor and modern slang.

It's not just a cooking assistant—it’s a culinary comedian!

1. Frontend:
   • HTML, CSS (TailwindCSS), JavaScript for a sleek and interactive UI.
2. Backend:
   • Python (Flask) to handle image uploads, AI processing, and recipe generation.
3. AI Integration:
   • OpenAI API for ingredient detection and recipe creation.
   • Julep API for refining ingredient lists.
4. Image Processing:
   • Pillow for resizing and encoding images.
5. Hosting:
   • Dockerized application deployed on a cloud platform.

• Image Recognition: Accurately detecting ingredients from diverse food images was challenging.
• API Coordination: Managing multiple API calls while ensuring performance and reliability.
• UI Design: Creating a visually appealing yet intuitive interface for users.

• Successfully integrated AI to generate humorous recipes using modern slang.
• Developed a visually striking, cyberpunk-themed user interface.
• Improved ingredient recognition and streamlined recipe creation workflows.

• AI & Image Processing: Deepened our understanding of AI-driven image recognition and text generation.
• User Experience: Learned the importance of visual feedback and responsive design in retaining user engagement.
• API Optimization: Gained insights into optimizing API calls for better performance and scalability.

• User Profiles: Allow users to save recipes and track their cooking history.
• Advanced AI Features: Introduce meal planning, calorie tracking, and dietary customization.
• Mobile App: Develop a cross-platform mobile app for convenience.
• Community Sharing: Enable recipe sharing and discussions among users.

• Languages: Python, JavaScript, HTML, CSS
• Frameworks: Flask, TailwindCSS
• APIs: OpenAI, Julep
• Libraries: Pillow, dotenv, tiktoken
• Tools: Docker for containerization
• Hosting: Scalable cloud platform