AI Agent Engineer Projects in NigeriaAI Agent Engineer Projects in Nigeria
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Cover image for Context-Aware Fintech User Feedback Classification
Context-Aware Fintech User Feedback Classification & Urgency Detection Most feedback tools stop at sentiment; positive or negative. This project goes further by building a decision-driven NLP system that classifies fintech user feedback by issue type and detects operational urgency, enabling smarter triage and escalation. What was built: Two machine learning models trained on manually collected and annotated app store reviews from real fintech platforms like Revolut, Wise, and Monzo: Issue Classifier: categorizes feedback into 9 classes including transaction issues, account security, KYC, refunds, app performance, and fraud Urgency Detector: binary classifier that flags high-risk feedback requiring immediate attention, optimized for recall to minimize missed critical cases
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Cover image for Applying to jobs is exhausting. You
Applying to jobs is exhausting. You find a role you want. Copy the description. Rewrite your CV to match. Hope it gets past the ATS. Repeat 50 times. Most people give up halfway through. What I built: A multi-agent system powered by CrewAI that handles the entire process autonomously: Parser Agent extracts your skills and experience from your base CV Job Analyst Agent scrapes the job posting and identifies exactly what they want CV Writer Agent rewrites your CV to perfectly match their requirements Scorer Agent rates your final CV out of 100 and suggests improvements How it works: Drop in a job URL. The system handles everything—scraping, analyzing, rewriting, scoring. You get an ATS-optimized CV tailored to that specific role in minutes. Template Link: https://github.com/Nwoyi/cv_multi_agent.git
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