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1. Predicting-Heart-Disease-Using-Neural-Networks Predicting-Heart-Disease-Using-Neural-Networks Public

   This project focuses on predicting heart disease using neural networks based on features such as blood pressure, cholesterol levels, heart rate, and other characteristic features.

   Jupyter Notebook 1 1

2. Swasth-Android-App Swasth-Android-App Public

   Forked from akashshah26595/swasth_app

   This is the android app we developed as a part of the Project Deep Blue hackathon for an NGO called the Swasth India Foundation, to streamline their feedback collection process.

   Java

3. Swasth-Integrated Swasth-Integrated Public

   Forked from akashshah26595/swasth_integrated

   This the integrated version of the project we developed for the Swasth India Foundation to enhance their feedback collection process.

   Java

4. Chicago-Crime-Data-NoSQL Chicago-Crime-Data-NoSQL Public

   This project is based on the Chicago City Crime dataset available on Kaggle. It is implemented using MongoDB, Flask API and HTML.

   HTML

5. Chicago-Crime-Data-RDBMS Chicago-Crime-Data-RDBMS Public

   This project is based on the Chicago City Crime dataset available on Kaggle. It is implemented using a Galera cluster on AWS EC2, node.js, and Postman.

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6. Titanic-Dataset Titanic-Dataset Public

   The goal of this project is to predict the survival of a given passenger on the Titanic based on a set of variables such as age, sex, passenger class, etc.

   Jupyter Notebook