Contributed to the development and management of a smart office web application with React JS and a mobile application with React Native. The application has a Node JS backed with Microsoft Integration (Nest JS framework). The application is deployed in Docker. Worked closely with a designer to create a flawless user interface and user experience.

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Developed a web application for visitor management using React JS with a Node JS application as a backend with a way finding application integration.

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Developed an automated framework for teachers that scans the classroom and records students facial expression and categorizes them into happy, angry, fearful, confused or upset using Convolutional Neural Network, Python Deep Learning Libraries(TensorFlow) and Flask for creating a web application.

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Developed a deep learning model using Convolutional Neural Network(CNN) to predict possible insider threats in an organization with data set contains human brain waves using python deep learning libraries(Keras) that achieved 96% accuracy.

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Developed an AI Chatbot using nltk and TensorFlow which can be used to support and scale business teams in their relations with customers.

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Developed a machine learning model using Adaptive Boosting to predict whether a person has heart diseases or not using a data set of 500 records using Python Machine Learning Libraries(Sklearn) that achieved 85% accuracy.

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Developed a Motion Detection framework using Opencv and Python.

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