**🚀 Full-Stack Developer | 🌐 AI & Robotics Enthusiast | 🏫 8th grade | entrepreneur **
🎓 Location: Baku, Azerbaijan 🇦🇿 | 💡 Shaping the future of SaaS, Tech, and AI-powered systems
I am a passionate student developer committed to building impactful software products. Despite being in 8th grade, I have successfully built and shipped SaaS platforms, robotics-integrated systems, and productivity apps, solving real-world challenges.
My strengths lie in:
- Developing AI-powered tools for education, family safety, and performance analysis.
- Focusing on privacy-first applications that respect user data.
- Building scalable and impactful systems with modern technologies.
GitHub Repository | Status: Active Development
Description:
Sentra is a behavioral monitoring platform designed to protect families from risks associated with AI-driven tools like ChatGPT, Claude, and Character.AI.
- 🧠 AI Risk Detection: Monitors emotional dependency, harmful advice, and risky roleplays with AI tools.
- 🛡️ Privacy-focused Dashboard: Parents get 7-day/30-day behavior trends without storing sensitive data.
- 🔔 Real-Time Alerts: Immediate push notifications for serious behavioral issues.
- 📈 Family Analytics: Weekly automated reports showcasing activity logs and potential risks.
- Frontend: Built with Vite + Vanilla JS for high performance.
- Backend: Powered by Node.js (Express) and SQLite for zero-latency local storage.
GitHub Repository | Status: Collaboration with the Azerbaijan Capoeira Federation
Description:
AI/ML-based tool designed to refine and analyze movements of Capoeira athletes in real-time or via video recordings.
- 🎥 AI-assisted Video Upload Analysis with skeleton overlays.
- 📊 Movement Scoring: Real-time feedback on techniques like Ginga, Armada, and Bênção using MediaPipe.
- 📋 Personalized Performance Reports for athletes.
- Frontend: Glassmorphic Vite-based UI design.
- Backend: Python (FastAPI) integrates with Google MediaPipe AI models.
Impact: Transforming the way athletes train by applying artificial intelligence to physical movements.
Live Deployment | GitHub Repository
Description:
A cross-platform app tackling procrastination using AI task prioritization and gamified streaks.
- 📱 Built for Web, iOS, and Android with Capacitor and Firebase.
- ⚡ Hosts 100+ active daily users across Azerbaijan.
GitHub Repository | Status: Live Beta
Description:
Lumi helps young students learn algorithms by creating code with physical blocks.
- 🎨 Computer Vision AI (OpenCV, HSV color detection).
- 🤖 Hardware control (Arduino, robotics integration).
- 📊 Provides personalized learning dashboards.
Impact: Makes coding accessible, tactile, and screen-free for underserved schools.
GitHub Repository | Status: MVP
Description:
Real-time SaaS platform that helps small businesses detect missed revenue through data analysis.
- 📊 AI-driven revenue recovery models.
- 🔍 Underbilling detection for contracts.
- Built using: TypeScript, Supabase, PostgreSQL, and Next.js.
| Metric | Details |
|---|---|
| Key Projects | 7 |
| Shipped Apps | 2 |
| Daily Users | 100+ |
| Version Control | 50+ Commits |
| Last Updated | April 2026 |
| Area | Tools/Technologies |
|---|---|
| Frontend | React.js, Next.js, Vite, Tailwind CSS |
| Backend | Node.js, Firebase, Python, PostgreSQL |
| Machine Learning | OpenCV, MediaPipe, TensorFlow |
| Hardware | Arduino, Robotics Integration |
| Languages | Python, TypeScript, JavaScript |
- Short-Term Goals:
- Refine Sentra's dashboard to scale across schools.
- Enhance Capoeira AI tools for broader sports.
- Stanford Aspirations:
- Expand Lumi (EdTech Robotics) under Stanford’s entrepreneurial labs.
- Email: davudali2022@gmail.com
- GitHub: @Davuddevelop