An intelligent fraud-detection system for Kenya's car and heavy machinery market. Combines machine learning with financial guardrails to verify asset valuations, detect document forgery, and protect borrowers and lenders from predatory lending schemes.
Year
2025
Timeline
Ongoing
Team
Solo Developer
Type
Personal Project
AI / Intelligent Systems
AutoVerifAI is an intelligent system designed to eliminate fraud and "asset traps" in the Kenyan car and heavy machinery financing market. It acts as a cognitive protective layer between borrowers, lenders, and brokers — combining machine learning with real-world financial guardrails to ensure every transaction is grounded in verified logic rather than handshake promises. The project was inspired by high-profile cases like Raphael Tuju's asset dispute and everyday citizens losing millions in lorry-financing schemes — systemic problems that demand a systemic solution.
Kenya's asset financing market is plagued by document forgery, inflated valuations, and predatory lending. Brokers and unscrupulous dealers exploit information asymmetry to trap borrowers in unfavourable deals. Lenders have no reliable way to verify whether an asset's stated value, condition, or ownership history is legitimate — leading to devastating financial losses on both sides.
Type
Personal Project
Duration
Ongoing
Team Size
Solo Developer
Status
In Development
Backend
Machine Learning
Frontend
Infrastructure
I'm actively looking for internship opportunities and open to collaborating on projects in networking, intelligent systems, and data engineering.
