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1. Customer-Segments-with-Arvato Customer-Segments-with-Arvato Public

   This project uses both Supervised and Unsupervised learning to find customers for the mail-order company in Germany.

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2. Sentiment-Analysis-on-AWS Sentiment-Analysis-on-AWS Public

   In this project, I deployed a Sentiment Analysis model using RNN in the Amazon AWS SageMaker tool and made a simple web app to interact with the model.

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3. Attendance-using-Face-Regonition-Algorithm Attendance-using-Face-Regonition-Algorithm Public

   In this project, I have made an attendance system that takes attendance using face recognition and sends a message to registered users using an API. Also published a research paper in ICCRDA-2020.

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4. Disaster-Response-Classifier Disaster-Response-Classifier Public

   It uses NLP to classifier every single message in 36 different categories like "water", "shelter", "food", etc.

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5. IISC-Covid19-Classifier IISC-Covid19-Classifier Public

   Implemented a Deep Learning model that can detect the Coronavirus using cough sounds. this model can help in diagnosis and can increase the testing speed.

   Jupyter Notebook

6. Recommendation-Engine-With-IBM Recommendation-Engine-With-IBM Public

   This project analyzed the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles.

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