EatRight AI
Link to open source: https://github.com/ayush-yadavv/Gdgnoida-buildathon
Link to Live Project: https://github.com/ayush-yadavv/Gdgnoida-buildathon/tree/master/apk_build
EatRight AI is a mobile application built with Flutter, designed to help users understand and manage their nutrition through powerful AI-driven analysis and intuitive tracking features.
- 🤖 AI Meal Analysis:
- Analyze meals by capturing an image or providing a text description.
- Identifies individual food items and estimates quantities.
- Provides detailed macro- and micronutrient breakdowns for items and the total meal.
- 🏷️ AI Product Label Analysis:
- Scan both the product front and the nutrition label using images.
- Extracts product name, brand, serving size, ingredients, allergens.
- Provides detailed nutritional information per serving, including health impact assessment based on Daily Values (DV).
- 📝 Consumption Logging:
- Easily log analyzed meals or products to your daily intake.
- Specify consumed servings for accurate tracking of product consumption.
- Records consumption time.
- 📊 Daily Intake Tracking:
- Aggregates logged food items into a daily summary.
- Tracks total calories, protein, carbs, fat, fiber, and potentially other nutrients.
- Provides a breakdown of calorie intake by meal type (Breakfast, Lunch, Dinner, Snacks).
- Visualizes progress towards daily goals (based on DVs).
- 💬 Contextual AI Chat ("Ask AI"):
- Engage in a conversation with the AI assistant specifically about the meal or product you just analyzed.
- The AI context includes the detailed analysis data and general DV guidelines for relevant answers.
- 👤 User Profiles:
- User authentication and profile management.
- Stores user details, preferences, and potentially health goals (future enhancement).
- 📶 Offline-First Data:
- Utilizes local caching for daily summaries and consumption details, ensuring app usability even without an internet connection.
- Asynchronous background synchronization with Firebase Firestore for data persistence and multi-device access.
This build was uploaded as a hackathon project



