Niva

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Inspiration

I was inspired by real stories from friends, family, and countless women who often feel unsafe while commuting, walking home, or traveling alone. I realized that in real moments of danger, people might freeze, panic, or simply can’t act — and traditional safety apps often fail right there. I wanted to create something that silently walks with you, so you don’t have to ask for help to be protected.

What it does

The MVP of Niva focuses on building trust and real-time connection:

Companion mode to start a safety session

Trusted circle: select people who get notified in emergencies

Route planning: choose or save common routes

Location sharing simulation: keeps your trusted circle updated

Emergency alert system: triggers alerts if the user doesn’t end the session

Dark mode: gentle, calming UI that feels like a friend, not an app

How we built it

Used Bolt Builder to rapidly prototype core flows and screens

Designed UI to feel soft, friendly, and calming — avoiding cold, clinical tones

Implemented companion mode logic with session start, location pings, and end-session check

Built trusted circle and route planning management within Bolt’s flow logic

Focused on making the MVP simple, smooth, and ready to demo

Challenges we ran into

Keeping the experience passive while still actionable

Balancing “proactive safety” without overwhelming trusted contacts

Designing an interface that feels human and comforting — not just functional

Staying within MVP scope and Bolt’s builder limits, while planning bigger future features

Accomplishments that we're proud of

Built a working, user-friendly safety companion in a short time

Managed to create something that feels like a friend, not an alarm system

Focused on real-life scenarios: freezing, panic, and silent danger moments

What we learned

Real safety is emotional, not just technical

Simple design choices (tone, colors, button text) change how safe users feel

MVP should solve one strong problem first, and evolve later

What's next for Niva

This MVP is only the beginning. We plan to add:

Mid-session micro-check-ins (“Are you okay?”)

Smart escalation if the user doesn’t respond

Passive triggers (route deviation, sudden stop detection)

Stealth shadow mode (recording and alerting silently)

AI-powered emotion detection for better alerts

Wearable or gesture-based triggers

Community-driven SafeTrail maps with real data

Niva’s mission: To become a silent, trusted companion — so you never have to walk alone.

Built With

• and-deployed-as-a-progressive-web-app-(pwa)-to-make-it-installable-and-mobile-first.-for-state-management
• and-followed-accessibility-best-practices-to-ensure-usability-for-all.-as-part-of-future-scalability
• and-session-data-on-device-without-backend-dependencies.-we-also-integrated-framer-motion-for-smooth-ui-animations
• bolt
• component-based-frontend-development-and-tailwind-css-for-responsive
• css
• google-places
• modern-styling.-for-location-tracking-and-route-planning
• react
• trusted-contacts
• we-integrated-the-google-maps-api.-we-used-bolt-builder-to-rapidly-prototype-and-design-the-application
• we-relied-on-react-context-api-and-local-storage-to-securely-store-user-settings