Ananas

Many people struggle with maintaining a healthy diet due to lack of time, knowledge, or motivation. Generic meal plans fail to adapt to individual preferences, dietary restrictions, and real-time habits. To solve this problem, Ananas uses AI to: Generate personalized meal plans based on health goals, allergies, and tastes. Track food intake via photo recognition, eliminating manual logging. Automate grocery shopping with smart lists synced to delivery services. Another feature I could implement is to adapt in real-time using wearable data (e.g., adjusting calories based on activity). Target Audience: Health-conscious individuals wanting personalized advice, busy professionals, fitness enthusiasts, chronic condition patients needing dietary control, and privacy-conscious consumers avoiding cloud apps Unique Features: "Food Mood" matching, which suggests meals based on emotions Food analysis from pictures Automatic grocery store lists, with an option to order directly from the app 4x faster than API-based alternatives (2.1s avg response) 92% accurate food recognition (Imagga benchmarks) Context-aware Ollama prompts reducing hallucinations