Nutrition Care Android App using AI/ML
A production-ready nutrition care android app in Java/XML with Firebase Realtime Database. Type any product or fruit name and instantly get nutrient breakdown (macros, vitamins, minerals). An NLP chatbot explains when to eat, who should avoid, and portion guidance. Includes a video tab with expert-backed content for healthy living.
- ✓Complete Android Studio project (Java/XML) + Firebase setup
- ✓Nutrient lookup with cached results & offline-first reads
- ✓NLP chatbot with guardrails and evidence-linked suggestions
Project Objective
Deliver a secure, fast, and accurate nutrition care android app that enables users to search food items and receive rich nutrient data (calories, protein, fat, carbs, vitamins, minerals), while an AI/ML-powered NLP chatbot gives personalized diet guidance and safety precautions. The app stores search history, favorites, and preferences using Firebase.
How It Works
- Food Search: User types a product/fruit/food name. App fetches nutrients (from local JSON/API) and caches in Firebase/Local DB for speed.
- AI Advice: NLP chatbot analyzes the item and user’s basic profile (e.g., goals) to advise when to eat, portion size, and health caveats.
- Video Learning: Video tab shows curated playlists on balanced diet, micronutrients, and healthy habits.
- Offline-first: Recent lookups and chatbot FAQs are available offline; syncing happens automatically when online.
Project Modules
Instant nutrient facts for foods, fruits, and products.
- Macros + micros table
- Favorites & recent
- Offline cache
Contextual Q&A for timing, benefits, and precautions.
- Prompt templates
- Guardrails & disclaimers
- Extensible intents
Evidence-based video playlists on nutrition & wellness.
- YouTube/WebView embed
- Playlists by topic
- Share & save
Auth + Realtime DB + Storage + Rules.
- Role-based reads/writes
- PII minimization
- Audit & rate limits
Firebase Realtime Database Structure (Example)
{ "foods": { "banana": { "name": "Banana", "macros": {"calories": 105, "protein": 1.3, "fat": 0.4, "carbs": 27}, "micros": {"potassium": 422, "vitC": 10.3, "magnesium": 32}, "updatedAt": 1725300000 } }, "users": { "uid123": {"name":"Alex","goal":"weight_loss","role":"user"} }, "favorites": { "uid123": {"banana": true, "oats": true} }, "faqCache": { "banana_portion": "1 medium/day is fine for active adults..." } }
Sample Firebase Security Rules (High-Level)
// Realtime Database Rules (illustrative) { "rules": { ".read": false, ".write": false, "users": { "$uid": { ".read": "$uid === auth.uid", ".write": "$uid === auth.uid" } }, "foods": { ".read": true, // read-only public reference data ".write": "false" // lock writes from client }, "favorites": { "$uid": { ".read": "$uid === auth.uid", "$foodId": { ".write": "$uid === auth.uid" // user’s own favorites } } }, "faqCache": { ".read": true, ".write": "false" } } }
Key Features & Benefits
- Fast nutrient answers for everyday foods and fruits.
- AI chatbot explains timing, pros/cons, and portions with plain-language tips.
- Clean UI with offline cache and favorites for quick access.
- Firebase-first security and minimal PII collection.
- Scalable & extensible—plug different models or nutrition sources.
Android Integration Sketch (Java/XML)
// PSEUDO-CODE (illustrative only) // FoodSearchViewModel.java liveData<FoodInfo> food = new MutableLiveData<>(); void searchFood(String query){ // 1) Try local cache (Room or Firebase local persistence) // 2) If miss, call NutritionRepo -> returns FoodInfo (macros/micros) // 3) Save to Firebase / local for future offline use } // ChatbotService.java String askDietBot(String question, @Nullable UserProfile profile){ // Build prompt with guardrails: // "Be concise. Cite general guidelines. Add disclaimer." // Call cloud function or on-device model for response // Return markdown/plain text } // Firebase Functions (optional) exports.nutritionLookup = functions.https.onCall((data, context) => { // Server-side key-protected nutrition API call // Normalize result, return to client });
What You Get
Item | Included | Notes |
---|---|---|
Android Source Code (Java/XML) | ✅ | Clean architecture, comments, modular |
Firebase Setup | ✅ | Auth + Realtime DB + Rules templates |
NLP Chatbot Integration | ✅ | Prompt templates + guardrails, plug model |
Demo Video | ✅ | Setup & working walkthrough |
Report & PPT | ✅ | College-format templates |
Support | ✅ | Installation + viva Q&A (1 month) |
FAQs — Nutrition Care Android App
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