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Everything I’ve built (and I can explain it)

TMU Social Map screenshot

TMU Social Map

A social map experience for Toronto Metropolitan University: browse locations and start sessions from the map UI.

  • Interactive campus map experience with a clean UI
  • Quick filtering + selection flow for locations
  • Session-start UX designed for speed
Next.jsMapsUI/UX
Case study →Live ↗Code ↗
Zenith screenshot

Zenith

An agentic AI guardian that intercepts purchase decisions, monitors health check-ins and tracks grade trends, stepping in before money, health or academic problems compound.

  • AI Purchase Interceptor — smart spending analysis
  • Pulse Check — health & wellness monitoring
  • Z-Enclave Mainframe — academic performance tracking
AIAgentic SystemsNext.jsFull-Stack
Case study →Live ↗Code ↗
Portable Shazam screenshot

Portable Shazam

Captures Windows system audio through WASAPI loopback and fingerprints it with ShazamIO, so it names whatever is playing without a microphone.

  • Identifies songs from system audio using WASAPI loopback capture
  • No microphone required - uses high-quality digital audio fingerprinting
  • Modern, responsive UI built with CustomTkinter
PythonCustomTkinterAudio ProcessingDesktop App
Case study →Code ↗
NextTransit screenshot

NextTransit

A real-time Toronto Transit Commission (TTC) tracking application that helps commuters catch their bus on time.

  • Live vehicle tracking on an interactive map
  • Real-time arrival predictions for TTC routes
  • Mobile-friendly interface for commuters on the go
Next.jsTTC APIReal-time DataMaps
Case study →Live ↗Code ↗
No signal

LofiLoop

A browser-based beat maker with a 16-step sequencer, synth drums, swing/BPM controls, and AI-assisted pattern generation.

  • 16-step sequencer with tempo + swing control
  • Synth-based drum engine (no audio files required)
  • Pattern generator section for fast idea exploration
Next.jsTypeScriptWeb Audio APISequencer
Case study →Live ↗Code ↗

FIN

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© 2026 Aditya Sharma

GitHub ↗LinkedIn ↗TMU CS '29