indranildchandra/Pediatric-Perimeter

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2
Language
MATLAB
License
MIT License
Created about 8 years ago
Updated almost 6 years ago

indranildchandra/Pediatric-Perimeter

indranildchandra

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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.

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.

Jupyter Notebook

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.

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).

Jupyter Notebook

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.

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.

Jupyter Notebook

Deep-Learning-on-the-Edge

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.

Jupyter Notebook

Bevhance-Analytics

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

Devanagri_Character_Recognition_Classifier

Devanagri_Character_Recognition_Classifier

Jupyter Notebook

Age-Gender-Predictor

Age-Gender-Predictor is a project to predict the age and gender of any person detected in the frame of any image or video stream.

Intel-Vehicle-Make-Model-Classifier

Jupyter Notebook

Shipmnts-Challenge

Challenge is to predict the Shipper and Consignee Code masked in the file identify_codes.json

fashion-item-recommendor

For each user of the client's e-commerce website, predict 10 relevant items from the items protfolio that the user may be interested in and hence help in increasing client's engagement with the users.

Jupyter Notebook

Godrej-Cooking-Aid-Probe

Godrej Cooking Aid Probe is a temperature probe used to monitor temperature of the food while cooking and synchronise with Godrej Cooking Aid Android Application in real-time to provide an entire Cooking Aid eco-system. Cooking Aid Android Application is available @ https://github.com/Vaibhav-Yengul/Godrej-Cooking-Aid

Ultimate-Crypto-Challenge-2018

Codebase of Team 2nd Innings participating in Ultimate Crypto Challenge 2018. We built a Crypto Price Predictor using historical data, influencer opinions and general sentiment in the market.

Automatic-Licence-Plate-Recognizer

Automatic-Licence-Plate-Recognizer

Jupyter Notebook