1.Major Event Risk & Outreach Planner
Large events stretch hotels, transit, nightlife, and labor markets. Outreach teams have limited resources and need better ways to decide where to focus. Build a tool that helps communities prepare for major sporting, tourism, and entertainment events by showing where outreach, prevention, and support resources are most needed.
Start here — A map showing priority outreach zones from sample event, hotel, transit, and service-provider data.
Push further — Combine event schedules, venue locations, hotel density, transit hubs, short-term rental concentration, and nightlife areas to recommend outreach timing and locations.
Helps NGOs, city agencies, outreach teams, hospitality partners · Uses geospatial analysis, risk scoring, anomaly detection, resource allocation · Demo: a city map with recommended outreach areas before, during, and after an event, plus AI-generated outreach checklists for local partners.
2.Risky Job Post Detector
Exploitative recruitment hides in job posts with vague employers, unrealistic pay, housing dependency, travel pressure, document control, upfront fees, or unclear working conditions. Build an AI tool that reviews job posts and flags possible exploitative recruitment signals.
Start here — Upload a CSV of sample job posts and return low, medium, or high risk scores.
Push further — Add multilingual detection, recruiter clustering, repeated-pattern analysis, and explanations of risk signals.
Helps worker advocates, migrant support groups, job platforms, NGOs, labor-rights organizations · Uses NLP classification, LLM evaluation, multilingual text analysis, structured extraction · Demo: flagged job posts with explanations — vague employer identity, travel pressure, housing control, or document-related concerns.
3.Suspicious Recruitment Network Mapper
Exploitative networks reuse usernames, phone numbers, phrases, locations, payment patterns, images, or posting behavior across different listings and platforms. Build a system that connects repeated signals across sample listings to reveal possible recruitment networks.
Start here — Detect repeated names, phone numbers, locations, or similar wording across sample posts.
Push further — Build an interactive network graph showing linked recruiters, listings, accounts, locations, or repeated language patterns.
Helps investigators, trust & safety teams, NGOs, researchers, anti-trafficking analysts · Uses entity extraction, similarity search, graph analysis, embeddings, clustering · Demo: scattered posts becoming a connected, navigable network of relationships.
4.Event Scam & Exploitation Signal Detector
Major events attract fake job offers, fake housing, ticket scams, travel scams, and exploitative recruitment targeting visitors, temporary workers, migrants, and people seeking short-term income. Build a tool that flags suspicious event-related job offers, housing offers, travel deals, ticket messages, or recruitment posts.
Start here — Upload sample event-related job, housing, or travel posts and flag suspicious patterns.
Push further — Add multilingual detection, repeated-actor detection, source credibility scoring, and risk explanations.
Helps visitors, temporary workers, migrant communities, NGOs, consumer protection teams · Uses text classification, scam detection, anomaly detection, risk scoring, multilingual analysis · Demo: flagged posts explained — upfront fees, vague employer identity, unsafe housing promises, passport requests, unrealistic pay.
Not feeling these? Combine ideas, adapt to your local context, or propose a completely new solution within this track. A focused prototype that works beats an ambitious idea that stays abstract.
Ready to build? Register now · Join our Discord · Submissions close July 9, 2026.
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