TRIBUNAL: A Machine Court for Production Incidents

GitHub: https://github.com/UjwalKandi/tribunal

TRIBUNAL Ruling

  • Built an adversarial AI court for production incidents, where Prosecution, Defense, and Judge LLMs argue each fix before a ruling.
  • Rulings pass a Flink-enforced human veto window, then become Kafka precedents that future hearings must argue against.
  • Developed at the Cursor Austin × AITX Hackathon as a successor to A.I.D.E., using Next.js, TypeScript, Claude structured outputs, Zod, and Supabase pgvector, with cases drawn from real Airflow and dbt failures.

FlipFinder Pro: Real-Time AI for Car-Flip Profit Detection

GitHub: https://github.com/UjwalKandi/FlipFinder-Pro

FlipFinder Pro Dashboard

  • Built for the Databricks Free Edition Hackathon — an ML and anomaly-detection model that analyzes used-car data, predicts market values with 89%+ accuracy, and surfaces high-profit flip opportunities.
  • Developed an interactive analytics dashboard that reveals flip scores, risk levels, profit potential, and $20M+ worth of opportunities.

A.I.D.E. - AI Diagnostic Engine

GitHub: https://github.com/UjwalKandi/A.I.D.E

Agentic System

  • Built an AI tool to analyze logs locally, identify issues, and provide diagnostic reports.
  • Utilized Llama models on Groq, implemented RAG with ChromaDB, and created visualizations with SciPy for enhanced analysis.
  • Developed the initial prototype at the ATX Llama Hackathon hosted by Meta, where I used the Llama Stack for on-device intelligence.

Customer Characterization & Profiling using Agglomerative Clustering

Medium: https://medium.com/@ujwalkandi/customer-characterization-and-profiling-using-agglomerative-hierarchical-clustering-7713ca77111a

Object Detection

  • Conducted comprehensive analysis of client habits, demographics, and marketing responses using different clustering techniques.
  • Opted for Agglomerative Hierarchical Clustering, gaining deeper insights into distinctive customer segments.

Smart Air Quality Monitoring: IoT Sensors on M5StickC Plus

Medium: https://medium.com/@ujwalkandi/smart-air-quality-monitoring-iot-sensors-on-m5stickc-plus-40d01827b39c

Object Detection

  • Developed a Smart Air Quality Monitoring System using M5StickC Plus, AT6558 GPS, and SGP30 Gas Sensor, seamlessly integrated with Qubitro.
  • Conducted live demonstrations with threshold alerts, showcasing the system’s ability to detect harmful gases.

Archive - Photography Portfolio

https://ujwalkandi.in/archive/

Portfolio

A curated collection of moments captured through my lens. Dive into a world of vibrant landscapes and sleek rides, each shot infused with the energy and chaos of my imagination.


ujwalkandi.in

(the website you are currently on)


EnDe-K

GitHub: https://github.com/UjwalKandi/EnDek

  • Python code for implementing Encrypting File System (EFS) using Modular Key framework.


Dashboard on Drug Cartels' Activity across Mexico

Tableau: https://public.tableau.com/app/profile/ujwal.kandi/viz/DrugCartels-Mexico/DrugCartels-Mehico

  • Extracted data of 10 drug cartel’s drug traffic activity spanning over 20 years.
  • Analyzed shifts in their territory and impact over each state from 1989 to 2010.

Financial Impact of Presidential Tweets on Stock Markets

Tableau: https://public.tableau.com/app/profile/ujwal.kandi

Research Paper 📑

Correlation Viz

Excel Stats

  • Scrapped vital tweets of world leaders from a Tweet Archive and analyzed their financial impact on global stock markets.
  • Applied several Data Visualization techniques to indicate the correlation between the two factors.

Archaeological Sites with Mayan Inscriptions

Tableau: https://public.tableau.com/app/profile/ujwal.kandi/viz/MayanSites/MayanSites

  • Visualized a dataset of 334 newly discovered sites across Mesoamerica that expands the known territory of the Mayan civilization.
  • Mapped lat-long coordinates to sites that lacked GPS values through geocoding.

Real-Time Face Recognition with Raspberry Pi 3

GitHub: https://github.com/UjwalKandi/Object-Recognition-with-Raspberry-Pi

Object Detection

  • Developed model using OpenCV, Numpy, Dlib and implemented with Raspberry Pi 3.
  • Provides real-time confidence score of the faces recognized.

Deaths during the LA Riots of 1992

Tableau: https://public.tableau.com/app/profile/ujwal.kandi/viz/LAriots1992/DeathsduringLAriotsin1992

  • Acquired statistical data on homicides & other riot-related deaths from the official investigation records of LAPD, LASD, and LA Times.
  • Also gathered data from the building records of LADBS on properties that were destroyed by arson during the riots.

the Note Making Project 📝

GitHub: https://github.com/UjwalKandi/the-Note-Making-Project

  • Implemented Optical Character Recognition using MATLAB as part of the Note Making Project.