π Computer Systems Engineering Student at Botswana Accountancy College.
π Passionate about Software development, Cybersecurity & DevSecOps.
π» I build secure and scalable software.
π Iβm currently working on LoetoLink which is a React Native (Expo) application that simplifies public transportation by offering route discovery, navigation, and personalized favorites
π± Iβm currently learning AWS and Introduction to Cybersecurity
π Always learning and improving.
π LoetoLink
LoetoLink is a React Native (Expo) mobile app that simplifies public transportation by offering real-time route discovery, navigation, and personalized favorites. It integrates Supabase for secure backend services and Google Maps Directions API for dynamic routing.
π§ Features:
- π Authentication with Email, Google, and Apple (Supabase Auth)
- πΊοΈ Real-time navigation with ETA and interactive maps
- π Visualizes public routes, stops, and current location
- β Save favorite routes
- π Quickly reuse recently viewed routes
- π Browse and search bus stops by route
π Past Papers App
A full-stack web application that allows students to easily access and download academic past papers for exam preparation. It provides a clean interface, fast search, and organized structure for efficient study planning.
π§ Features:
- π Student account creation with Supabase authentication
- π Browse and view past papers by course
- π Smart search by course code, year, or title
- π± Fully responsive and mobile-friendly design
- β¬οΈ One-click PDF downloads
- ποΈ Organized by course codes for easy navigation
ποΈ F1 Championship Predictor
A machine learning model that predicts Formula 1 World Driver's Championship (WDC) and World Constructor's Championship (WCC) outcomes using historical data analysis and advanced statistical modeling.
π― Latest Predictions (2024):
- Max Verstappen (Red Bull) - 57.1% WDC probability
- Red Bull Racing - 66.9% WCC probability
π§ Features:
- π Driver and Constructor performance analysis
- π Race-by-race prediction updates
- π Historical trend analysis
- π― Championship probability calculations
- π Feature importance ranking
- π Recent form evaluation
π Model Performance:
WDC Model: WCC Model:
Accuracy: 91.6% Accuracy: 89.9%
Precision: 30.0% Precision: 44.4%
Recall: 85.7% Recall: 80.0%
F1 Score: 44.4% F1 Score: 57.1%
ποΈ Architecture:
- Data Pipeline: Historical F1 data processing
- Feature Engineering: Advanced performance metrics
- Model Training: Random Forest Classification
- Evaluation: Cross-validation and performance metrics
- Prediction: Probabilistic championship outcomes
π Key Performance Indicators:
- Driver Points & Wins
- Grid Positions
- Race Completion Rates
- Team Performance
- Historical Success
- Recent Form