• Topic Modeling and Classification (Capstone project @ NJIT)
    Topic Modeling using Latent Dirichlet Allocation (LDA) and Topic Classification using Support Vector Machine (SVM) with aim of recommending users to other users with matching profiles.
  • Spam Detector 
    Spam Classifier using Naive Bayes from scratch (with Laplace Smoothing) without use of scikit-learn. Live
  • Face Recognition
    Face recognition using python. Identifies an individual in an image based on a previously known image of that individual.
  • Stress Detection using PPG devices
    Detect the presence of stress from heart rate measure by wrist-worn PPG devices (such as Fitbit, Apple watches, etc). This project was part of my Stanford Professional Certification Course in Machine Learning (xCS229ii)
  • Image Compression with K-Means
    Apply the K-means algorithm to lossy image compression, by reducing the number of colors used in an image.
  • Chest Xray Binary Classifier using Transfer Learning
    A binary classifier implemented using resnet50 pre-trained model and transfer learning, that can detect whether a person has pneumonia or not based on their chest X-Ray image.
  • Feature Maps
    Demonstrating the use of feature maps for classifying non-linear (sinusoidal) data.
  • GPT-2 text generator
    A GPT-2 based text-generator that pretends to reside in the year 2032.
  • Housing Prices Prediction
    A Linear Regression model to predict housing prices. Live
  • Housing Prices Prediction in time of Covid-19
    In this project we created a model to predict the per-square-foot housing prices from the NYC rolling sales data and the pluto dataset, taking into consideration the number of covid cases per day.
  • MySQL project (Public Library)
    Project to write MySQL queries and a basic UI for public library, per the problem statement. (Part of coursework @NJIT).