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followers: 24.0 following: 5.0 repos: 31.0 gists: 0.0

Name: Susanta Mondal

Type: User

Company: IBM,Blockchain & Climate Institute(Non-for-profit) ,Susanta Mondal is a Data Scientists /Artificial Intelligence Practitioner @ IBM and Non-for-profit (BCI) ,Technical Researcher @BrainSightAI

Bio: Lead Technical Architect,Data Scientists /AI/ML @ IBM and BCI ,Technical Researcher @BrainSightAI

Location: Leamington Spa, Warwickshire,United Kingdom

Susanta Mondal's Projects

aif360 icon aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

beiwe icon beiwe

Beiwe is a smartphone-based digital phenotyping research platform.

corona-tracker-bot icon corona-tracker-bot

Discord bot for coronavirus (COVID-19) , With Ai [Machine learning algorithms] integrated into it

flask-restx icon flask-restx

Fork of Flask-RESTPlus: Fully featured framework for fast, easy and documented API development with Flask

flood-risk-and-real-estate-prices icon flood-risk-and-real-estate-prices

Data processing and regression for an academic research study on whether the rise in coastal flood risk is capitalized in real estate prices.

healthcare-ml-web-application icon healthcare-ml-web-application

Access to quality healthcare and doctors has always been a concern in developing countries and remote areas. To deal with such issues, this healthcare web application is developed. Healthcare data was fed to machine learning training models and engines for predictive modelling. The accuracy of these models is directly proportional to the training they get. These models will be able to predict the potential health risks to a patient a lot earlier so that they could take the preventive measures and live a long healthy life.

realestatebot icon realestatebot

Automatic investment analysis of real estate listings using datamining and python.

repo-2017 icon repo-2017

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

uipath-face-recognition-framework icon uipath-face-recognition-framework

In the UiPath Attended Robot Framework you can find a TensorFlow implementation of the face recognizer described in the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering". The project also uses ideas from the paper "Deep Face Recognition" from the Visual Geometry Group at Oxford. The framework allows you to add an extra layer of security in attended scenarios. In order to do that the robot will ask your name and to take few photos. The model gets trained based on the photos provided.

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