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Modise-Kgosi/README.md

Hi I'm Modise πŸ‘‹

πŸ‘¨πŸ½β€πŸ’» About Me:

πŸŽ“ Computer Systems Engineering Student at Botswana Accountancy College.
πŸ” Passionate about Software development, Cybersecurity & DevSecOps.
πŸ’» I build secure and scalable software.
πŸ”­ I’m currently working on LoetoLink which is a React Native (Expo) application that simplifies public transportation by offering route discovery, navigation, and personalized favorites
🌱 I’m currently learning AWS and Introduction to Cybersecurity
πŸš€ Always learning and improving.

🌐 Socials:

LinkedIn email

πŸ’» Tech Stack:

JavaScript Java HTML5 CSS3 C C++ Python AWS Firebase Supabase MySQL Figma React React Native NodeJS JavaFX TailwindCSS Spring Canva

πŸ“‚ Projects

🚍 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.

πŸ”§ Features:

  • πŸ” Authentication with Email, Google, and Apple (Supabase Auth)
  • πŸ—ΊοΈ Real-time navigation with ETA and interactive maps
  • πŸ“ Visualizes public routes, stops, and current location
  • ⭐ Save favorite routes
  • πŸ” Quickly reuse recently viewed routes
  • πŸ›‘ Browse and search bus stops by route

🧱 Built With: React Native Supabase Google Maps API AsyncStorage

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.

πŸ”§ Features:

  • πŸ” Student account creation with Supabase authentication
  • πŸ“„ Browse and view past papers by course
  • πŸ” Smart search by course code, year, or title
  • πŸ“± Fully responsive and mobile-friendly design
  • ⬇️ One-click PDF downloads
  • πŸ—‚οΈ Organized by course codes for easy navigation

🧱 Built With: React NodeJS Express Supabase TailwindCSS Vercel Railway

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.

🎯 Latest Predictions (2024):

  • Max Verstappen (Red Bull) - 57.1% WDC probability
  • Red Bull Racing - 66.9% WCC probability

πŸ”§ Features:

  • πŸ“Š Driver and Constructor performance analysis
  • 🏁 Race-by-race prediction updates
  • πŸ“ˆ Historical trend analysis
  • 🎯 Championship probability calculations
  • πŸ“‹ Feature importance ranking
  • πŸ”„ Recent form evaluation

πŸ“Š 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%

πŸ—οΈ 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

πŸ“ˆ Key Performance Indicators:

  • Driver Points & Wins
  • Grid Positions
  • Race Completion Rates
  • Team Performance
  • Historical Success
  • Recent Form

🧱 Built With: Python Pandas scikit-learn NumPy Matplotlib

πŸ“Š GitHub Stats:



πŸ† GitHub Trophies

πŸ” Top Contributed Repo


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  1. Tawanda21/LoetoLinkv2 Tawanda21/LoetoLinkv2 Public

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  2. CSE23-102 CSE23-102 Public

    HTML