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  • University of Toronto
  • 06:54 (UTC -04:00)

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nirancodes/README.md

Hi, I'm Niranjana N. Nambiar

Second-year Computer Engineering student at UofT, building explainable AI for cyber resilience. I focus on interpretable ML, secure deployments, and ops-driven design to create real-world impact.

About Me

I specialize in trustworthy AI systems with a strong emphasis on security, observability, and clarity. Currently, I research cyberattack detection in smart grids and lead perception tooling for the UTFR Driverless team — developing automated cone labeling pipelines with Python and YOLOv8.

What I Build

  • SceneScore: AI that maps photo moods to Spotify playlists using NLP and LLMs
  • DroneWatch: Real-time drone network path planning & cyber simulation with MATLAB and ACO
  • KANs for AGC: Symbolic ML for detecting stealthy cyberattacks in power grids (still working on this!)

Let’s Connect

https://nirancodes.github.io/NiranjanaPortfolio/! Reach me at: [email protected]
Toronto, Canada

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  1. DroneWatch DroneWatch Public

    MATLAB simulation modeling drone mesh networks to meet <4% packet loss. Features interference zone analysis (bridges/rivers), and statistical reliability reporting. Validated 92% link stability in …

    MATLAB 1 1

  2. Kartikbud/New-Hacks-Medscope Kartikbud/New-Hacks-Medscope Public

    Python

  3. AttendDetect AttendDetect Public

    Engineered a real-time attendance tool for remote teams using OpenCV’s Haar Cascade classifiers to track users.

    C++ 1

  4. HushALERTS HushALERTS Public

    HushALERTS commits to social impact by allowing the user to discreetly alert authorities at public spaces to replenish their inventory of menstrual hygiene products.

    JavaScript 1

  5. SceneScore-HackThe6ix SceneScore-HackThe6ix Public

    Finding the perfect song for your Instagram stories has never been easier.

    Python 2