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ResQAlert

"ResQAlert" is an innovative project, aimed at enhancing safety during emergencies at HydroCarbon Facilities post the distribution. It leverages advanced calculations, real-time sensors, and interactive maps to assess risks, monitor gas levels, and promptly alert users and emergency services. The system includes simulation tools and inventory management for administrators, estimates potential casualties, locates nearby services, and provides location-specific evacuation guidance. In the event of a gas leak, it automatically sends user locations to the nearest hospitals, ensuring swift assistance and optimal resource allocation for a quick and safe response.

Problem Statement

Problem Statement Link Detail🔗

Go Through Video

A go through video🔗

Product Diagram

Untitled

Deployed Link

Tech Stack

Client: React, Redux, TailwindCSS, Google Map Api, Firebase, Vercel

Server: Node, Express , Docker

Installation

to start Organisation View >>

cd Org
npm i
npm run dev

to start User View >>>

cd User
cd b2c-client
npm i
npm run dev

To run this project, you will need to add the following environment variables to your .env file

VITE_PUBLIC_VAPID_KEY = VITE_FIREBASE_VAPID_KEY = VITE_FIREBASE_API_KEY = VITE_FIREBASE_AUTH_DOMAIN = VITE_FIREBASE_PROJECT_ID = VITE_FIREBASE_STORAGE_BUCKET = VITE_FIREBASE_MESSAGING_ID = VITE_FIREBASE_APP_ID = GOOGLEMAPS_API_KEY =

Screenshots

image image image image

Team Name

  • HiveeZ

Team Leader Email

Team Members

Future Scope

To further advance our safety system, we aim to extend blockchain integration for secure data storage, ensuring data integrity and fostering trust across all safety-related data, going beyond chemical inventory. Additionally, we are actively working on implementing machine learning for early hazard detection, allowing us to identify sensor data anomalies and mitigate potential risks before they escalate. Furthermore, we are enhancing our simulation capabilities, enabling "what-if" analysis for complex scenarios, resulting in more effective preparation and response strategies. We are also committed to expanding our IoT sensor variety and coverage to create a more comprehensive safety network in industrial settings. Strengthening our collaboration with emergency services is a priority, equipping them with real-time data and advanced tools for improved decision-making during critical situations. Lastly, our ongoing efforts include expanding our AI bot's language capabilities to ensure effective communication with a diverse workforce in the oil and gas industry, promoting safety and understanding across different languages and cultures.

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  • JavaScript 90.9%
  • CSS 8.4%
  • HTML 0.7%