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🧭 Pathly

Navigate safely. Explore confidently.

Pathly is a context-aware navigation companion designed to help people—especially university students—make safer, more confident decisions about where to go and how to get there, particularly at night.

Unlike traditional map applications that optimize only for speed, Pathly optimizes for comfort, safety, and confidence, combining real-time signals, AI insights, and natural voice guidance.

Devpost:

https://devpost.com/software/pathly-254xnw

🌟 Why Pathly?

Finding the fastest route isn’t always the best choice—especially at night.

  • Users don’t want to stare at maps while walking
  • Quiet or poorly lit streets can feel unsafe
  • Information overload increases anxiety
  • Accessibility is often overlooked

Pathly shifts navigation from “fastest” to “best for you, right now.”


🚦 Core Features

🌤️ Day Mode — Smart Discovery

Designed for exploration and productivity.

  • Ranked nearby places (cafés, libraries, gyms, coworking spaces)
  • Clear status indicators (not busy/moderate / busy)
  • Smooth map + list synchronization
  • Live updates and dynamic re-ranking

Goal: Help users quickly decide where to go.


🌙 Night Mode — Confidence-Focused Navigation

Designed for safety and reassurance.

  • Multiple route options:
    • 🛡️ Safest
    • ⚖️ Balanced
    • ⚡ Fastest
  • Visual street-level activity indicators
  • Clear explanations for route recommendations
  • Reduced visual clutter and calmer UI

Goal: Help users feel confident while getting there.


🎙️ Voice Guidance (ElevenLabs)

Pathly integrates ElevenLabs to provide natural, human-like voice guidance, especially in Night Mode.

Why voice?

  • Reduces screen dependency while walking
  • Lowers cognitive load
  • Improves accessibility (visually impaired users)
  • Builds reassurance through tone, not just data

Example voice message:

“This route is slightly longer, but it has better lighting and more nearby activity.”

Voice transforms Pathly from a map into a companion.


🧠 AI-Assisted Insights

Pathly uses AI to:

  • Explain why a place or route is recommended
  • Adapt suggestions based on time of day
  • Support decision-making without overwhelming users

All AI outputs are explainable, contextual, and user-centric.


🗺️ Visual Street Activity

Instead of crime data or assumptions, Pathly uses street-level activity proxies:

  • Nearby points of interest
  • Road type and connectivity
  • Human presence indicators

Street segments are visualized using intuitive color gradients—especially useful in Night Mode.


🧑‍🤝‍🧑 Community & Rewards (Optional)

Pathly includes optional Web3 features powered by Solana:

  • Wallet-based tipping for helpful reports
  • Rewards for community contributions
  • Lightweight, transparent incentive layer

🧱 Tech Stack

Frontend

  • React + Vite
  • @react-google-maps/api
  • Tailwind CSS
  • Framer Motion

Backend

  • Node.js / Express
  • MongoDB Atlas

APIs & Services

  • Google Maps & Places API — maps, routing, POIs
  • ElevenLabs API — high-quality text-to-speech
  • MongoDB — live data (users, places, routes, signals)
  • Solana Web3 — optional rewards & tipping
  • OpenStreetMap / Overpass — street network data

🗄️ Data Architecture

Frontend (React + Maps)
        ↓
Backend API (Node / Express)
        ↓
MongoDB (live app state)
        ↓ (async / analytics)
Snowflake (optional analytics layer)

About

Project built during 2026 Hackathon at Concordia University in Montreal

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