Projects

Note: Click on the respective project titles to visit the repositories.

• Android App Front End

  • I build an android app front end during my internship, under the guidance of my mentor, that would basically work as a note book to store user's input.
• 
  
  

  Housing Management Database System

  • Me and my 2 group members build a database management system in python that would store the data of incoming and outgoing people/guests from a society.
  • The database stored Name of the person, Vehicle Id(if any), Entry and Exit time and Contact Details. We can also perform CRUD operations on it.
  • We used Python's Tkinter library for creating the GUI (frontend) of the software and sqlite3 library for creating and managing the database (backend).
• 
  
  

  Walmart Stock Price Prediction

  • An implementation of machine learning model that predicts adjusted close price of Walmart store stocks.
  • An implementation of linear regression machine learning algorithms on Walmart stock dataset.
  • The model works on an MSE of 22.18.
• 
  
  

  Heart Stroke Prediction

  • An implementation of various machine learning algorithms for comparison on heart stroke dataset.
  • I've implemented 6 different algorithms and compared their accuracies.
  • The best accuracy across all the models is of 92.76%.
• 
  
  

  Survivor Predictions using Neural Networks

  • An implementation neural networks on the titanic dataset.
  • This is my first Deep learning project.
  • The model performed with an accuracy of 79%.
• 
  
  

  Analysis of Algorithms (with and without PCA)

  • An implementation of various machine learning algorithms for comparison of performance with and without PCA on dermatology dataset.
  • I've implemented 8 different algorithms and compared their training and testing accuracies with and without PCA.
  • The best accuracy across all the models is of 98.65%.