Urgent.News

What's breaking now, across thousands of outlets.

AI

Spot-Undoo: Privacy-First AI Kerala Micro-Travel Planner & Layover Explorer

This is a submission for the Hacktoberfest Open-Source AI Challenge: Week 2 - Side Hustle . 🌟 What I Built Spot-Undoo is an open-source, local-first micro-travel planner and hidden gem discovery engine tailored for travelers and transit commuters across Kerala. Most travel applications (Google Maps, TripAdvisor) funnel visitors to the exact same overcrowded commercial tourist traps, completely…

Spot-Undoo is an open-source, locally-hosted micro-travel planner designed to help travelers and transit commuters explore hidden gems and authentic experiences in Kerala. The app addresses two main issues: overcrowded tourist spots and transit commuters facing anxiety due to train delays. By utilizing locally hosted open-weight AI models and MongoDB Atlas, Spot-Undoo generates constraint-guaranteed itineraries on-the-fly.

Key features include:

- 70 authentically verified Kerala spots across seven hubs

- Zero-click dual-strategy fast GPS with live GPS and cached fallback

- A unique neo-brutalist vector adventure canvas

- On-device Qwen 2.5 edge AI inference for local processing

- Safe return guarantee with a visual loop back to the starting point before train departure

Spot-Undoo aims to monetize through three revenue streams: B2B SaaS partnerships with backpacker hostels and boutique homestays, a B2B2C marketplace for local auto drivers and freelance guides, and monetizing hyper-local food and craft vendors. The app is built using a combination of React 18, Vite, Tailwind CSS, Leaflet OpenStreetMap, Node.js, and Capacitor 6 for native Android deployment. The code repository is available on GitHub.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at dev.to →

More in AI

Finding the Bugs I Built an AI Agent to Prevent: Building Deterministic Guardrails with LangGraph & Python

`` A real debugging log: fabrication bugs, deployment gaps, and false test passes found and closed across 6 rounds of adversarial testing. System prompts are a leash, not a lobotomy.

  • Engineer Muhammad Ahmad created deterministic guardrails to prevent AI agent bugs.
  • Ghost Row Bug and Regex Mismatch bugs discovered during adversarial testing.
  • Deterministic backstop in Python overrides model output for detected failure patterns.

Catalog Craft AI: Zero-Token-Cost Product Listing & SEO Engine for Seller

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle What I Built CatalogCraft AI is a local-first, AI-powered product listing and cataloging engine designed for…

  • CatalogCraft AI is AI-powered product listing engine
  • Zero-token-cost operation eliminates API fees
  • Supports Amazon, Etsy, Shopify, Meesho, English, Hindi

ResumeForge: A Privacy-First AI Resume Analyzer Built with Local Open-Weight Models

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle What I Built Every time someone applies for a job today, they are handed the same advice: "Tailor your resume to…

  • ResumeForge analyzes and tailors resumes locally on personal computers.
  • Provides fit score 0-100 with justification and ATS keyword suggestions.
  • Open-source project for privacy-conscious job seekers and recruiters.

More from Saturday 17 October →