FearlessHer

Encouraging women to live without fear of danger.

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Inspiration

In a world where safety is still a privilege for many girls and women, we envisioned FearlessHer — a smart safety solution that ensures no one walks alone. With rising incidents of harassment and insecurity in public spaces, we wanted to build a tech-driven tool that transforms fear into confidence, powered by real-time intelligence and the cloud.

What it does

FearlessHer is a mobile-first web app that:

Tracks a user's live location using GPS

Shows nearby safe zones like hospitals and police stations

Detects well-lit vs. dark/dangerous streets (mock data)

Sends instant emergency alerts to a trusted contact with the user's location

Offers panic button access to trigger real-time SOS alerts

It acts as a digital bodyguard — proactive, responsive, and always watching out for you.

How we built it

Frontend: HTML, CSS, JavaScript, Leaflet.js for live location maps

Backend: AWS Lambda, API Gateway for serverless emergency alerting

Data Sources: OpenStreetMap for location tiles, mock data for lighting and crime zones

Deployment: Hosted via GitHub Pages, serverless backend on AWS

Project Walkthrough

https://drive.google.com/file/d/1Wi6Pf-BE6UYNn3gdmszFo3QOzcPWT1eK/view?usp=drive_link

Challenges we ran into

Tackling CORS issues while sending data to AWS API Gateway

Designing a clean, mobile-responsive UI that still looks urgent and accessible

Mapping mock data for unsafe zones in a meaningful way

Ensuring geolocation tracking is accurate and reliable across browsers

Accomplishments that we're proud of

Successfully built and deployed a fully serverless safety tracker

Created a working panic button that sends emergency alerts with exact GPS coordinates

Mapped real-time user movement with Leaflet and integrated location intelligence

What we learned

How to build and deploy scalable serverless APIs on AWS

Real-world use cases of leaflet.js, geolocation APIs, and OpenStreetMap

Importance of designing with empathy, especially when working on safety-focused apps

Collaboration between UI/UX, backend, and security is key for user trust

What's next for FearlessHer

Integrate real-time crime data APIs to detect risky zones dynamically

Build a mobile app version with offline tracking

Allow parents or friends to track live movements securely

Add AI-based danger prediction using ML on movement patterns

Translate the app into multiple languages to reach rural and regional users

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