🌊 HydroSnap – Secure River Water Level Monitoring

NOTE:

ITS A SAMPLE COPY OF OUR FINAL WORK ON SIH 2025 PROJECT FOR PROOF AND VERIFICATION PURPOSE ONLY, NOT FOR COMMERCIAL USE. PLEASE DO NOT USE ANY CONTENT WITHOUT PERMISSION FROM THE ORIGINAL AUTHORS (TEAM - GRAYCODE).

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📌 Overview

HydroSnap is a mobile-first solution to modernize and secure river water-level monitoring using image processing, geofencing, and cloud integration.
It provides reliable, tamper-proof, and scalable data collection to support flood forecasting, disaster preparedness, and water resource management.

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🚩 Problem Statement

Water levels in rivers across India are still largely monitored manually by field personnel.
This process is time-consuming, error-prone, and vulnerable to tampering.

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💡 Our Solution

HydroSnap ensures authentic and secure water-level reporting by combining:
✅ GPS-based geofencing for site validation
✅ QR code verification for site authenticity
✅ Live photo capture of gauge posts (no gallery uploads)
✅ Image Processing (OCR/AI) to read water levels automatically
✅ Metadata tagging – timestamp, GPS coordinates, device ID, user ID
✅ Tamper detection – anomaly detection for fake/duplicate readings
✅ Offline-first sync for remote/rural areas
✅ Dashboard integration for supervisors & central analysts

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✨ Features

• 🌍 Location Validation – Warns if user is outside monitoring site radius.
• 📷 Camera Enforcement – Captures live image for each reading.
• 🤖 AI Assistance – Detects & suggests water level from gauge photo.
• 🛰️ Metadata Traceability – Stores GPS, timestamp, and device ID.
• 📡 Offline Mode – Readings saved locally & synced when online.
• 👥 Role-based Access – Field staff, supervisors, analysts, public.
• 🔒 Tamper Detection – Alerts for skipped/fake readings or GPS spoofing.
• 📊 Readings Dashboard – Supervisors track data across multiple sites.

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🏗️ Tech Stack

Mobile (Android): Kotlin, Jetpack Compose, CameraX, Room, ZXing (QR Scanner)
Backend: FastAPI / Node.js, REST APIs, JWT Auth
Database: PostgreSQL + PostGIS, Cloud Object Storage (S3/GCS/Azure)
Image Processing: OpenCV, Tesseract OCR, ML (YOLO/CRNN for gauge reading)
Dashboard: React, Mapbox/Leaflet, TailwindCSS

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📊 Workflow

flowchart TD
    A[User Login & Role Authentication] --> B[Site Verification]
    B -->|GPS Geofence| C[QR Code Scan]
    C --> D[Data Capture]
    D -->|Live Camera + OCR| E[Metadata Tagging]
    E --> F[Offline Storage]
    F --> G[Server Sync & Validation]
    G --> H[Tamper Detection & Alerts]
    H --> I[Supervisor Dashboard]
    I --> J[Central Analysis & Forecasting]

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👥 Team: GrayCode

Name	Role
Mohsin Ansari	Model Integration & Backend
Rohit Yadav	Data & Visualizations
Ayush	Backend Development
Prerna Verma	UI/UX
Payal Katara	UI/UX & R&D
Kunal Singh	Testing & Reporting

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