"Code. Debug. Innovate." On a mission to bring our ideas to life and solve problems that matter.
First-Aid Assistant Website: Smart Emergency Healthcare with AI and Local Language Support
Presented by: [Frontend Fanatics]
Problem Statement: In rural areas and even many urban settings, people don’t always know how to react during medical emergencies.
Language becomes a barrier, and finding nearby help is often difficult.
Also, vital signs are not monitored in time, and there's no easy way to contact doctors or ambulances quickly.
1.Lack of immediate first-aid knowledge in rural/local areas
2.Language barriers during medical emergencies
3.Difficulty accessing nearby emergency services
4.Need for real-time monitoring and expert consultation
Solution: Our solution is a smart website that solves all these problems.
It includes a local language voice assistant, chatbot, image-based injury detection, local language first-aid guides, real-time ambulance and hospital support, vital sign monitoring through wearable devices, and even a video consultation option with doctors. Our website offers:
1. A web platform offering instant first-aid help in local language
2. Local Language Voice Assistant
3. AI Chatbot in regional language
4. Injury Image Upload & AI analysis
5. Step-by-step First-Aid Procedures (text + video)
6. Call Nearby Ambulance Service
7. Nearby Hospital Suggestions
8. Vital Sign Monitoring via wearable devices
9. Live Video Call with Medical Experts Key Features: First-Aid Content:
Local language videos + procedures for injuries/diseases
Emergency Services:
Direct ambulance calling & hospital suggestions with maps
Vital Sign Monitoring:
Wearable integration to track heart rate, temp, etc.
Video Consultation:
Talk to nearby medical professionals for advice
Tech Stack: Frontend: HTML, CSS, JS, React
Backend: Node.js / Flask
AI Models: Image classification, NLP for local language
Voice Recognition: Google Speech API / Mozilla DeepSpeech
Database: Firebase / MongoDB
Wearables: BLE API integration
Video Call: WebRTC / Zoom SDK
Impact:
With this platform, we break the language barrier in emergency care.
People in rural areas can now get reliable, fast, and understandable first-aid support—without depending on anyone else.
It also reduces panic, saves time, and improves chances of recovery.
1.Saves lives with quicker first-aid response
2.Reduces dependency on language-specific healthcare
3.Bridges healthcare gaps in rural areas
4.Improves access to emergency support in rural/urban areas
5.Empowers users to act during emergencies
6.Fast, reliable first-aid reduces risk
7.Better emergency response & recovery
Future Scope:
In future versions, we’ll add multilingual support, offline access for low-network zones, drone delivery of medical kits, and deeper integration with government health data.
1. AI model training for more accurate diagnosis
2.Multilingual support(Add support for more Indian languages)
Offline functionality
3.Drone delivery of first-aid kits
4.Integration with government health systems and hospitals
5.Mobile app version.
Day 1: Finalized idea Setup voice assistant in local language Basic UI and chatbot started Day 2: Added image upload + AI-based suggestions Created local languages first-aid content (text + video) Started ambulance & hospital API integration Day 3: Integrated vital sign checker (wearable demo) Added video call with doctors Final testing + UI polish Pitch deck and demo ready Key Features Done: Bengali Voice & Chatbot Injury image analysis First-aid steps (text/video) Nearby help + vitals + video consult
Current Stage: Prototype ready Funding Raised: None yet (Bootstrapped by team) Looking For: Seed funding / grants to build MVP Partnerships with healthcare NGOs and hospitals Mentorship for AI, medical validation, and device integration Usage of Funds (Plan): Improve AI accuracy (image + language) Connect with real wearable devices Host on secure, scalable cloud platform Onboard real doctors for pilot testing