JalSamadhan

Overview

Welcome to the JalSamadhan, a comprehensive mobile application designed to enhance disaster preparedness, response, and community collaboration. This React Native app harnesses the power of AI/ML and crowd-sourced data to provide real-time disaster information, facilitate efficient resource allocation, and empower users to actively contribute to disaster management on both Android & iOS.

Youtube Walkthrough JalSamadhan PPT

Installation

1. Clone the repository:

2. Install dependencies:

   cd JalSamadhan
   npm install

3. Run the app:

   npx expo start

4. Choose to run on either Android/iOS simulator or your physical device with the Expo Go app.

Features

1. SOS Button

• Immediate call for help.
• Collects user details, disaster images, and live location when pressed.

2. Heatmaps

• Displays the severity of disasters using real-time crowd-sourced data.
• Interactive map with SOS calls, reported issues, and proximity-based notifications.

3. Admin Dashboard (App + Web)

• Enables admins to make announcements using summarized information from web-scraped Social Media/News Articles in real-time.
• Manages past disaster analysis records, SOS alerts, complaints, resource requests, and first responder KYC approvals.

4. Intensity Identifier

• Utilizes AI/ML to assess the severity of water-related disasters using crowd-sourced images.

5. Proximity-Based Push Notifications

• Sends push notifications every 4 hours during disasters.
• Updates heatmaps with real-time crowd-sourced data.

6. Request a Resource

• Users can request specific resources (e.g., Medicine, Power Banks) categorized into five broad categories using AI/ML.

7. Become a Contributor

• Skilled individuals can help in the initial moments of the disaster, with KYC approval by admin.

8. Community Forums

• Facilitates community assistance and discussions on common water-related issues.

9. Disaster Feedback

• Allows disaster-affected users to provide valuable feedback on the government’s response.

10. Complaint Section

• Users can report local non-emergency water-related concerns.

11. Multilingual & Offline Mode

• Supports multiple languages for user convenience pan-India.
• Operates offline for places with limited internet connectivity.

Use Cases

• AI/ML assesses disaster severity, replacing manual inspections, saving time and money.
• Dynamic danger zone updates on built-in interactive maps from user data.
• Crowdsourced data surpasses traditional IoT sensors in coverage and accuracy.
• Successful in saving lives during flash floods and water scarcity issues.
• Rewards motivate users to provide accurate and timely disaster-related data.
• Valuable crowd-sourced data for research, disaster prediction, and policy planning.
• 'Request a Resource' feature allows users to specify unique needs during flooding events.

Feel free to explore, contribute, and make a positive impact on disaster management with our JalSamadhan!