Al-powered selection platform that analyzes applicant data and recommends top candidates for LSETF/PLP programs
# PLP Nigeria Hackathon: AI-Driven Applicant Selection Tool
## 🎯 Project Overview
An AI-powered platform that analyzes applicant data and recommends top candidates for LSETF/PLP programs. This solution is designed to integrate seamlessly with LSETF's upcoming LMS upskilling platform and provides a scalable solution for efficient candidate selection.
**Live Demo:**
mgx-plp-nigeria-hackathon.m…
## 🚀 Hackathon Details
- **Event:** Nigeria PLP Hackathon
- **Powered by:** LSETF, Jobred, and Opolo
- **Start Date:** August 27, 2025
- **Target Audience:** LSETF/PLP current learners and recent alumni
## 🎯 Problem Statement
This project addresses critical challenges in Nigeria's platform economy:
- **Lack of Transparency and Fairness in Algorithmic Job Matching**
- **Safety and Security Concerns for Women in Platform Work**
## ✨ Core Features
### 🔍 Data Analysis
- Process resumes, cover letters, assessments, and other applicant data
- Extract and analyze key candidate information
- Handle multiple data formats and sources
### 📊 Candidate Ranking
- Use predefined criteria (skills, experience, education) to evaluate candidates
- Apply machine learning algorithms for fair and accurate assessment
- Generate confidence scores for each candidate
### 💡 Smart Recommendations
- Generate ranked lists of top candidates for further evaluation
- Provide detailed insights on candidate strengths
- Support decision-making with data-driven recommendations
### 🔗 Integration Ready
- Designed for smooth integration with LSETF's future LMS
- Scalable architecture to handle growing program needs
- API-first approach for seamless connectivity
## 🏗️ Technical Architecture
### Frontend
- Modern web interface with intuitive UX/UI design
- Responsive design for accessibility across devices
- Real-time processing feedback and results display
### Backend
- AI/ML processing engine for candidate evaluation
- RESTful A …