Indranil Chandra

Intel-Realsense-SLAM-Robotics. Intel-Realsense-SLAM-Robotics

JobDescription-Keywords-Extractor. JobDescription-Keywords-Extractor aims to extract important keywords (topics) from any given job description posted online for better search engine optimization (SEO) using Topic Modeling techniques. It can also be used to build a Resume Screening Tool where any given resume would be matched against the topics extracted from JD_Keywords_Extractor.

Money-Laundering-Detector. Money Laundering Detector is to prove the hypothesis that a solution powered by Machine Learning and Behaviour Analytics will find… -> currently invisible transaction behaviour -> aberrations in transactions -> reduce review operations cost by lowering the number of False Positive alerts without using current framework of static rule based alert generation process.

claude-local-starter. Single-script installer that lifts and shifts my personal Claude Code setup - plugins, skills, commands, MCP servers, and config - onto any machine in seconds.

google-agentic-product-harness. Google-native agentic framework for first-time founders. Move from raw ideas to production-ready deployed apps.

cursor-session-tracer. An MCP-based observability layer for Cursor agentic sessions that logs agent decisions, file touches, and reasoning chains in real time, so you can debug prod regressions and review PRs by walking a trace instead of staring at a diff.

ML101-Codelabs. # ML101 ML101 is a Machine Learning series conducted by me for beginners to get them started with Mathematics of Machine Learning / Deep Learning and their implmentation in Python. This repo is a collection of few example codes of basic ML/DL algorithms (from different sources on the Internet).

DataScience-Project-Governance-Framework. Data Science Project Governance Framework is a framework that can be followed by any new Data Science business or team. It will help in formulating strategies around how to leverage Data Science as a business, how to architect Data Science based solutions and team formation strategy, ROI calculation approaches, typical Data Science project lifecycle components, commonly available Deep Learning toolsets and frameworks and best practices used by Data Scientists. A lot of research is happening all around the world in various domains to leverage Deep Learning, Machine Learning and Data Science based solutions to solve problems that would otherwise be impossible to solve using simple rule based systems. All the major players in the market and businesses are also getting started and setting up new Data Science teams to take advantages of modern State-of-the-Art ML/DL techniques. Even though most of the Data Scientists are great at knowledge of mathematical modeling techniques, they lack the business acumen and management knowledge to drive Data Science based solutions in a corporate/MNC setup. On the other hand, management executives in most of the corporates/MNCs do not have first hand knowledge of setting up new Data Science team and approach to solving business problems using Data Science. This framework intends to help bridge the above mentioned gap and provide Executives and Data Scientists with a common ground around which they can easily build any Data Science business/team from ground zero.

codex-in-the-loop-ci-gatekeeper. A multi-scenario Codex CI gatekeeper demo that fixes intentional bugs, validates patches, and blocks unsafe changes before merge decisions automatically.

Gaze-Tracker. Gaze-Tracker is an application to estimate posture of an individual using Geometrical and Computer Vision algorithms.

Online-Patient-Conversation-Classifier. Online-patient-conversation-classifier can segregate patient conversations from the rest of the group given historically tagged patient data.

Deep-Learning-on-the-Edge. Python

Pose-Tracker. Pose-Tracker is an application to track posture of the subject using OpenPose models built using Caffe framework.

Train-Status-Notifier. Train Status Notifier is a solution leveraging ML, DL and NLP techniques to detect contextual information from public chatroom of mIndicator android application and summarize it for sharing with all users of mIndicator. Context such as people in the chatroom discussing about train delays, cancellations, accidents and other emergency situations are captured and summarized.

Pediatric-Perimeter. A Gaze Tracking algorithm deployed in Pediatric Perimeter, being developed by Srujana Innovation Center, MIT Media Labs and LVPEI Hospital, to track gaze (pupil tracking) of babies in real-time using Viola-Jones Face Detection algorithm and Fast Radial Symmetry Transform.

Automatic-Licence-Plate-Recognizer. Automatic-Licence-Plate-Recognizer

Bevhance-Analytics. Bevhans is a Complete end-to-end Supply Chain Eco-System to drive sales by identifying Key Performance Indicators.

DIY_FaceShields_Covid19. We are a group of makerspaces around India trying to manufacture and distribute Face Shields to healthcare practitioners and essential service providers across the country.

indian-stock-screener. A browser-native AI stock screener for NSE-listed Indian equities. Single HTML file, no backend, no build step. Powered by Claude Sonnet with live web search, fundamental and technical analysis, and composite scoring weighted by time horizon. Built as a vibe-coded POC.

rag-done-right-in-production. rag-done-right-in-production

loan-arbitrage-optimiser. Secure local-first arithmetic based loan arbitrage optimiser to help you decide whether to use your surplus cash to pay off Loan(s) or park in Fixed Deposit