Wooble

Wooble

Closed · Closed 30 May 2026

HONKHACK - The Bus Comes When It Wants. Let’s Fix That with Code.

The Bus Comes When It Wants. That Should Not Still Be True in 2026.

Challenge closed

Evaluation only · Closed

What you can win

Also included

  • Participation certificate

    Get a verifiable certificate the moment you submit your work.

The brief

Priya leaves home at 8:15 to catch her 8:22 bus. Some days it comes early and she misses it. Some days it’s late and she reaches work late. Most days, she’s just guessing.

She tried maps. Outdated. She tried apps. Unreliable. She asked people. No one knows.

This isn’t one city. It’s every commuter, every route, every day—people building buffer time just to deal with uncertainty.

Build a coding-first solution that gives commuters real-time, reliable, and actionable information about their ride. Not static routes. Not old data.

Live signals. Smart decisions. Instant clarity—right in their pocket.

Bonus if it works on low data, basic phones, or even WhatsApp—because real users don’t always have perfect tech

Deliverables

  • Build a working, code-based solution (app, web app, or bot — no static prototypes)
  • Use real or simulated live data (APIs, GPS streams, or mock pipelines)
  • Provide actionable output — ETA, delays, or best commute option
  • Implement logic/prediction layer (not just displaying data)
  • Must be usable on low data / basic devices (lightweight, fast)
  • Include a testable demo with a real commute scenario
  • Share code repository (GitHub) or live working link
  • Include everything on wooble portfolio as part of submission process

Evaluation criteria

  • Usefulness — would a daily commuter actually rely on this?
  • Accuracy — are the timings and updates reliable?
  • Simplicity — easy to use, no confusion
  • Performance — fast and works well on basic devices

Results

Declared on 4 Jun 2026.

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Winner 1

Standout projects

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Full results

BusAlert Pro — Real-Time Bus Tracking with AI Delay Prediction

Public bus systems often lack real-time predictability, making it difficult for users to plan their travel efficiently. Passengers frequently face uncertainty in bus arrival times, missed buses, and inconvenient delays in reordering or rebooking their travel plans. This leads to poor user experience, wasted time, and reduced trust in public transport systems. Process 1. User Login / Entry User opens the app Logs in or continues as guest System detects current location 2. Search & Select Bus Route User enters destination System shows available buses + routes Displays: Bus number Estimated arrival time (ETA) Live tracking status 3. AI Prediction Layer System analyzes: Live GPS data Traffic conditions Historical bus delay patterns AI predicts: Accurate arrival time Delay probability 4. Travel Decision Screen User sees: “Bus arriving in 8 min (delayed by 3 min)” Alternative options: Next bus Faster route Nearby stop suggestion 5. Frictionless Reorder Flow (Core Feature) If user misses or wants to change plan: No need to re-enter details 6. Confirmation System Results 1. Improved Travel Experience Users get real-time and accurate bus arrival updates Reduced uncertainty about bus timing Less stress while planning daily commute 2. Faster Decision Making One-tap reorder / reschedule flow reduces manual effort Users can quickly switch buses or routes without restarting search 3. Reduced Waiting Time AI predicts delays and suggests alternatives early Helps users avoid missed buses and long waiting at stops 4. Smarter Public Transport Usage Better distribution of passengers across buses Reduced overcrowding in peak routes Optimized utilization of available buses Reflection Instead of normal rebooking: If bus is late or missed → system automatically rebuilds full travel plan Includes: Next best bus Walking route Nearby stop change

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