This is my working/development account where I actively build and experiment with projects. All polished, production-ready work gets exported to my main profile at github.com/Nyiko-Shabangu.
Think of this as my workshop οΏ½οΏ½οΏ½οΏ½ and the other as my portfolio gallery π¨.
This account contains my active development projects, experiments, and learning repositories. Here's what you'll find:
- Churn Prediction Project - Banking customer churn ML model (Python, scikit-learn)
- Mood Analyser - Spotify API sentiment analysis and mood tracking
- Neural network experiments and AI implementations
- Android development projects with CameraX and Firebase
Languages: Python β’ C# β’ Java β’ Kotlin β’ JavaScript β’ TypeScript
Frontend: React β’ Next.js β’ HTML/CSS
Backend: Node.js β’ Express β’ .NET Framework
Mobile: Android Studio β’ Kotlin
Cloud: AWS (Certified Cloud Practitioner)
AI/ML: TensorFlow β’ scikit-learn β’ Neural Networks β’ Pandas
DevOps: Docker β’ GitHub Actions β’ CircleCI β’ SonarQube
Databases: MySQL β’ MongoDB β’ Firebase
Tools: Git β’ Visual Studio β’ Android Studio
| Project | Description | Tech Stack |
|---|---|---|
| MunicipalServicesApp | Citizens report issues, track services, access local events | C#, .NET |
| Churn Prediction | ML model predicting customer churn from banking data | Python, scikit-learn |
| Mood Analyser | Sentiment analysis using Spotify listening data | Python, Pandas, Matplotlib |
| Share-Git | Mobile app for Git repository collaboration | Kotlin, Android |
For polished, production-ready versions of my work, visit:
π github.com/Nyiko-Shabangu
This includes:
- PlateBlur - Android privacy protection app (ML Kit)
- RAG-Anime-GPT - RAG-powered AI chatbot
- Flappy Bird AI - Neural network game AI
- CI/CD Payments Portal - Full DevOps pipeline
- NLP Food - Natural language food recognition
- And more production-ready projects!
- Advanced AWS Solutions Architecture (preparing for certification)
- Large Language Models and RAG implementations
- Advanced Neural Network architectures
- Cloud-native application development
- DevOps best practices and automation



