AI-powered offline diagnostic tool for malaria, anemia, and TB in rural Africa.
# bioscan-ai
AI-powered offline diagnostic tool for malaria, anemia, and TB in rural Africa.
# BioScan AI – Portable Disease Detection for All
**BioScan AI** is a mobile, offline, AI-powered diagnostic tool designed for use by rural health workers across Africa. With a smartphone and a clip-on lens, users can detect malaria, anemia, and tuberculosis — without needing internet access, a lab, or advanced training.
---
### Mission
To democratize access to life-saving diagnostics in underserved regions using AI and edge computing.
---
### Current Status
We are currently in the early development stage. Our prototype and AI models are in progress, and we are preparing for our first field pilot in 2025.
---
### Project Documents
- Pitch Deck (PDF)
- Prototype Roadmap
- Business Plan
---
### Planned Stack
- **Mobile**: Android (Kotlin), TensorFlow Lite, SQLite
- **AI**: PyTorch, OpenCV, Edge Impulse
- **Languages**: Python, Java
- **Voice UI**: Google Text-to-Speech, local language support
- **Hardware**: Clip-on microscope lens + Android smartphones
---
### Get Involved
We’ll soon open the codebase for contributions. If you’re interested in healthcare, AI, or tech-for-good, stay tuned or reach out via [
linkedin.com).
---
### Coming Soon
- App prototype (APK)
- Open-source diagnostic models
- Pilot program documentation