🔭 I’m currently building:
- 🚦 A Smart Traffic System for Nairobi using Python, React, and TomTom API
- 🐝 A Smart Beekeeping AI model (Smart Nyuki) that predicts hive health, honey harvest times, and weight trends
- 🌐 An E-commerce platform using WooCommerce + WordPress
🌱 I’m learning:
- Advanced AI workflows using TensorFlow
- Real-time data scraping and visualization
- Serverless deployments with AWS/GCP
💡 Fun facts:
- I'm passionate about solving local African problems with AI
- I believe every dataset has a story — and I love telling it with code
Languages:
Frameworks & Libraries:
Databases & Tools:
AI model trained on beehive sound & weight data to alert farmers when to harvest, or when there's hive decline.
- Technologies: Python, TensorFlow, FastAPI, Firebase
- Status: 🚧 In Progress
- Dataset: Nolasco & Benetos (2018)
- View Code
Predicts best traffic routes and alerts users of blockages using TomTom API and custom-trained models.
- Technologies: React, Python, TomTom API, Tailwind, Flask
- Features: Dynamic route planning, incident detection, AI delay prediction
- View Frontend
- View Backend
Python web scraper and chatbot analyzing WHO cervical cancer early treatment data.
- Uses Selenium, BeautifulSoup, OpenAI GPT API
- Outputs structured dashboards and summaries
- Repository Link
- How I built an AI-powered traffic system in Nairobi
- Turning Beehive Sounds into Data for Smart Farming
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🌐 Portfolio Website
✉️ Email: kerenhapuch68@gmail.com
If you like my work or want to collaborate, feel free to connect. You can also buy me a coffee ☕ to keep me coding.