I build practical AI systems with a strong focus on:
- safety and intent control
- privacy-first design
- real-world usability
I care more about reliability, clarity, and user control than flashy demos.
- Voice-first AI agents
- Cloud & backend systems
- AI-powered personal productivity tools
- Automation that respects user intent and boundaries
ποΈ AI-Voice Assistant System
A local, privacy-first AI assistant built for daily use.
Core ideas:
- Push-to-talk only (no always-on listening)
- Explicit intent classification and safety guardrails
- User-controlled memory (no silent data collection)
- Sandboxed task execution
- Designed as a personal AI mediator, not a cloud chatbot
π AI-Powered Fitness Tracking System
An intelligent fitness tracking system focused on personalized insights, not generic recommendations.
Highlights:
- Activity and habit tracking
- AI-driven fitness insights and progress analysis
- User-centric data handling
- Designed to support consistency and long-term health goals
π° AI-Powered Budget Tracker
A smart budgeting system designed to improve financial awareness and decision-making.
Highlights:
- Expense categorization and trend analysis
- AI-assisted budgeting insights
- Focus on clarity, discipline, and usability
- Built with privacy and transparency in mind
- Clear separation of concerns
- Deterministic control flow
- Minimal hidden state
- Explicit permissions and memory
- Privacy by default
- GitHub: https://github.com/pn-dev-in
- LinkedIn: https://www.linkedin.com/in/pravesh-nandanwar/