TrustFix

Inspiration

In many developing urban markets across Africa, finding a reliable electrician, plumber, or mechanic relies heavily on word-of-mouth recommendations. Homeowners risk low-quality service or fraud, while skilled independent artisans lack a digital footprint to build a reputation. We built TrustFix to bridge this trust gap by creating a transparent, AI-enhanced service marketplace tailored for emerging regions.

What it does

TrustFix connects local homeowners directly with verified service professionals.

• AI Smart Search & Matching: Uses light semantic analysis to match complex home repair requests with the most relevant skilled artisans based on proximity, credentials, and track record.
• Automated Trust Verification: Leverages AI parsing to evaluate uploaded artisan verification documents, work samples, and customer reviews to maintain high community trust standards.
• Localized Discovery & Portfolios: Allows users to inspect skill badges, verified client feedback, and past project photos before booking.

How we built it

• Architecture: Edge-native backend running on Cloudflare Workers deployed at https://trust-fix.nlk-apps.workers.dev to deliver minimal latency on mobile networks.
• AI & Search: Integrated lightweight AI inference models for claim/credential verification and intent-based artisan matching.
• Database & Auth: Supabase (PostgreSQL) handling real-time data persistence, vector similarity, and Row Level Security (RLS).
• Frontend: Mobile-first, responsive web client optimized for low data consumption.

Challenges we overcame

• Network & Compute Constraints: Running fast AI inference and image verification workflows efficiently at the edge without introducing latency for mobile users.
• Verification Accuracy: Designing backend validation pipelines in Supabase and Cloudflare to accurately process artisan profiles while minimizing manual admin overhead.

Accomplishments that we're proud of

• Successfully integrating AI micro-services into an edge-computed architecture powered by Cloudflare Workers and Supabase.
• Creating a practical solution to increase economic access and safety for homeowners and artisans alike.

What we learned

• Deploying serverless AI logic and dynamic routing at the edge using Cloudflare Workers.
• Optimizing vector and relational database schema performance for constrained mobile networks.

What's next for TrustFix

• AI Voice-to-Service Requests: Allowing homeowners to describe repair issues via voice notes in local dialects, automatically converted into structured service requests.
• Escrow Integration: Adding mobile money (MTN MoMo / Orange Money) escrow workflows.

Built With

• ai
• fastapi
• html5
• javascript
• postgresql
• python
• supabase