Xvector.us
Real-time sensor tracking and AI-driven audio classification.
Role: Software Engineer
Developed complex backend systems for environmental monitoring and AI integration.
- Backend: Built a Flask-based backend integrating AI for real-time speech-to-text and environmental audio classification.
- Offline Capabilities: Developed a custom offline map-tile server with a multi-threaded downloader (
concurrent.futures), enabling full operation without internet connectivity. - AI Integration: Created an “AI Advisor” module that interfaces with local LLMs and generates automated PDF reports using FPDF.
- Frontend: Designed a responsive, themeable frontend using vanilla JavaScript and Leaflet.js for real-time sensor tracking and map visualization.