Varuna Water Quality Monitoring App

Quick Start (3 Steps)

Step 1: Open in Android Studio

1. Open Android Studio
2. File → Open → Select this VarunaApp_COMPLETE folder
3. Wait for Gradle sync (2-5 minutes first time)

Step 2: Add Firebase Config

1. Go to https://console.firebase.google.com
2. Select your project → Project Settings
3. Download google-services.json
4. Replace the placeholder file at: app/google-services.json

Step 3: Build & Run

1. Build → Make Project (Ctrl+F9)
2. Run → Run 'app' (Shift+F10)
3. Select your device/emulator

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What's Included

✅ Complete Android App (74 files)

• 6 Activities (Splash, Login, Signup, Main, Chatbot, Education)
• 8 Fragments (Dashboard, Water Quality, Disease Risk, Reports, Alerts, Profile, Help, Admin)
• ML Engine with trained Random Forest model (853 KB)
• Firebase integration (Auth, Firestore, Storage, Messaging)
• PDF report generation
• Real-time alerts
• Disease risk prediction
• Charts & analytics

✅ Pre-trained ML Model

• Location: app/src/main/assets/varuna_model.json
• 5 Random Forest classifiers
• WQI prediction (0-100 score)
• Disease risk (Cholera, Typhoid, Diarrhea)
• No external ML library needed - pure Kotlin inference

✅ Gradle Configuration (All Fixed)

• Gradle: 8.6
• AGP: 8.3.2
• Kotlin: 1.9.22
• Zero dependency conflicts
• No Retrofit, no TensorFlow POM issues

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Project Structure

VarunaApp_COMPLETE/
├── app/
│   ├── src/main/
│   │   ├── java/com/varuna/app/
│   │   │   ├── activities/      # 6 activity files
│   │   │   ├── fragments/       # 8 fragment files
│   │   │   ├── ml/              # WaterQualityPredictor.kt
│   │   │   ├── utils/           # PDF, Alerts, Notifications
│   │   │   ├── adapters/        # RecyclerView adapters
│   │   │   ├── models/          # Data models
│   │   │   └── firebase/        # FCM service
│   │   ├── assets/
│   │   │   └── varuna_model.json  # 853 KB trained ML model
│   │   └── res/                 # 21 layouts, 16 drawables, themes
│   ├── build.gradle             # Module-level config
│   └── google-services.json     # REPLACE THIS with your Firebase config
├── gradle/wrapper/
│   └── gradle-wrapper.properties
├── build.gradle                 # Root-level config
├── settings.gradle
├── gradle.properties
├── firestore.rules              # Deploy these to Firebase
└── UPDATE_GUIDES/               # Reference docs if needed

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Features

Water Quality Module

• 7-parameter input (pH, TDS, Turbidity, Hardness, Temperature, Chloride, DO)
• ML-based WQI calculation (0-100 score)
• WHO/BIS compliance check
• Parameter-specific purification suggestions
• Emergency guidelines for unsafe water

Disease Risk Module

• Cholera risk prediction
• Typhoid risk prediction
• Diarrhea risk prediction
• Risk levels: Low / Medium / High
• Prevention guidelines

Dashboard

• Real-time WQI status
• Statistics cards (Safe/Moderate/Unsafe counts)
• Interactive line chart (MPAndroidChart)
• Disease risk summary
• Recent alert logs

Reports

• Generate PDF reports with all data
• Share via email/WhatsApp
• Download to device
• History of previous assessments

Admin Panel

• System statistics
• Emergency alert dispatch
• Pending help request management
• User role: admin/health_officer

Chatbot

• Water quality advisor
• WHO/BIS standards reference
• Purification method explanations
• Disease prevention tips
• ORS recipe for diarrhea

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Technical Details

Dependencies (All Gradle 8 Compatible)

AndroidX: Core, AppCompat, Material, Navigation, Lifecycle
Firebase: Auth, Firestore, Storage, Messaging, Analytics (BOM 32.7.4)
Charts: MPAndroidChart v3.1.0 (JitPack)
Coroutines: 1.7.3
Image Loading: Glide 4.16.0
UI: CircleImageView, Lottie animations

ML Implementation

• Pure Kotlin Random Forest interpreter
• No TensorFlow Lite dependency
• Reads JSON model file at runtime
• Fallback to mathematical WQI if model unavailable
• Zero dependency conflicts

Firebase Setup Required

1. Enable Authentication (Email/Password)
2. Enable Firestore Database
3. Enable Cloud Storage
4. Enable Cloud Messaging (FCM)
5. Deploy security rules from firestore.rules

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Troubleshooting

If Gradle sync fails

1. File → Invalidate Caches → Invalidate and Restart
2. Build → Clean Project
3. File → Sync Project with Gradle Files

If you get "Unsupported class file major version"

→ Install JDK 17:

• File → Project Structure → SDK Location → JDK Location
• Download JDK 17 from: https://adoptium.net/

If Firebase doesn't work

→ Replace app/google-services.json with your real one from Firebase Console

If ML model doesn't load

→ The model is already at app/src/main/assets/varuna_model.json (853 KB) → Check Android Studio's file explorer to verify it's there

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Need to Update Files Manually?

If you have an existing project with custom changes:

1. See UPDATE_GUIDES/MANUAL_UPDATE_GUIDE.md for complete instructions
2. See UPDATE_GUIDES/QUICK_CHECKLIST.txt for quick reference
3. Copy individual files from UPDATE_GUIDES/IndividualFiles/

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Version Info

Component	Version
Gradle	8.6
Android Gradle Plugin	8.3.2
Kotlin	1.9.22
Compile SDK	34
Target SDK	34
Min SDK	24 (Android 7.0+)
JDK Required	17
Firebase BOM	32.7.4

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Project Statistics

• 74 files total
• 6 Activities
• 8 Fragments
• 3 Utilities (PDF, Alerts, Notifications)
• 3 Adapters
• 5 Data Models
• 21 XML Layouts
• 16 Vector Drawables
• 1 ML Model (853 KB, 5 Random Forests)
• Firebase integration
• Zero external ML dependencies
• Zero Gradle conflicts

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Support

For issues, check:

1. UPDATE_GUIDES/ folder for manual update instructions
2. Firebase Console for correct google-services.json
3. Android Studio logs for specific errors

Built with ❤️ for water quality monitoring