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Achievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: YOLO

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Raghavsk24/README.md

Hi👋, I'm Raghav

I'm studying CS + Stats @ UIUC. I'm interested in computer vision, robotics and LLM automations.

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Featured Projects

  • Truck Pricing VLM: VLM-based pricing algorithm that generates an appraisal report: truck value, condition assesment and detailed statement of reasoning from user-uploaded images. Placed 2nd at 2026 UIUC Founder's Hackathon (Kamion YC S22)
  • School Pulse AI: Suite of 3 independent edge AI tools that helps a school visualize its environmental footprint and delivers actionable steps to reduce it through an ElevenLabs voice agent. Built as part of the 2026 USAII Global AI Hackathon.
  • EcoBin: AI-Powered Smart Bin that uses a neural network (EfficientNetV2-S) to autonomously sort waste items into an appropriate disposal pathway. EcoBin can also detect contamination in recyclable waste objects. You can view the pre-print on arXiv.
  • Chronos: Full-Stack Scheduling Agent that automatically books meetings for large groups on Google Calendar using a multi-factor scoring algorithm that accounts for differences in time zones Chronos won the 2025 Congressional App Challenge (AZ-08).

Tech Stack

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  1. Chronos Chronos Public

    Full stack scheduling agent that auto-books meetings on Google Calendar for large groups

    TypeScript 1 1

  2. EcoBin EcoBin Public

    AI-Powered Smart Bin that uses a Deep CNN (EfficientNetV2-S) to Autonomously Sort Waste Items

    Jupyter Notebook

  3. vignesh-nagarajan-vn/SchoolPulse-AI vignesh-nagarajan-vn/SchoolPulse-AI Public

    Suite of edge-AI tools and a web dashboard that help schools cut water, food, and energy waste by detecting leaks, sorting compost, and visualizing consumption in one conclusive dashboard.

    Jupyter Notebook 3 1

  4. Truck-Pricing-VLM Truck-Pricing-VLM Public

    Forked from nmkri/Blueoop

    VLM-based Pricing Algorithm for Trucks using Feature Extraction and Quantile Regression

    Python