This is a submission for the Hacktoberfest Open-Source AI Challenge: Week 3.
🌟 Spot-Undoo v2: Open-Weight AI Travel Studio & Layover Optimizer
Spot-Undoo is an open-source, privacy-preserving micro-travel concierge engine tailored for travelers, transit layover passengers, and explorers across Kerala's 14 districts.
During Week 3, we advanced Spot-Undoo from a mobile-first app into a full-scale Open-Source AI Desktop Studio & GPU-Accelerated Geo-Engine, designed to deliver instant, constraint-guaranteed transit itineraries with zero cloud inference cost.
🚀 What's New in Week 3 Development
🖥️ Widescreen Desktop Studio Layout (1680px) :
- Complete architectural redesign away from cramped mobile layouts into a split-screen studio workstation.
Docked Inspection Panel : Left-docked details card with high-resolution photography, transit breakdowns, and authentic community reviews. #
Expanded Canvas : Right-hand interactive Leaflet map canvas utilizing full desktop screen real estate. #
Dual-Column Layover Assistant : Dedicated left-side chat cockpit with right-hand live telemetry inspector. 2. ⚡ GPU-Accelerated Leaflet Map (Zero Pan Lag) :
- Eliminated panning and zoom stutter across large Kerala spot clusters using memoized zoom tiers and batched
L.layerGroup. - Hardware-accelerated CSS transforms (
will-change: transform; transform: translate3d(0,0,0)) achieving smooth 60fps rendering.
**🧠 Open-Weight Local AI Inference (Ollama & Qwen)** :
- Powered by local open-weight models (**Qwen 2.5:3B / Gemma 4** ) with structured JSON outputs.
- Guaranteed constraint matching (max available time, strict budget limits, transit travel time).
- Instant mathematical fallback routing if running completely offline.
📸 On-Device Multimodal Verification :
- HTML5 Canvas client-side downsampling to 512px JPEG before sending to vision models, keeping memory footprint low.
- Instant visual spot analysis with vibe tagging and authentic local tips.
🛠️ Open-Source Tech Stack
Frontend : React 18, Vite, Tailwind CSS 3, Lucide Icons, Leaflet OpenStreetMap. #
AI Models : Local open-weight models via Ollama (qwen2.5:3b ,gemma4 ), Groq Cloud API, Google Gemini Flash. #
Maps & Data : OpenStreetMap, Leaflet GPU acceleration, LocalStorage zero-database architecture. #
Mobile & Android : Capacitor native Android bridge (SpotUndoo-v1.0.apk ).
🔗 Open-Source Repository & Demo
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