Projects
A collection of my research projects and software developments
BiasGuard: Explainable Sexism Detection in Online Texts
NLP project focused on detecting sexist vs. non-sexist content in online texts. Performed EDA and preprocessing with class balance checks, text cleaning, tokenization, and embeddings. Built classifiers using CNN, BiLSTM, and GRU models for explainable sexism detection.
Sentiment Analysis on IMDB Movie Reviews
Classified movie reviews as positive or negative using Naive Bayes, Logistic Regression, and LSTM models. Analyzed accuracy and limitations of traditional ML vs. deep learning approaches for sentiment classification.
Image Classification with CNN Variants on CIFAR-10
Designed and trained CNN models with varied activation functions, kernel sizes, filters, and strides. Compared model performance to analyze the impact of different architectural choices on image classification accuracy.
Wine Quality Prediction using Machine Learning
Predicted wine quality using Random Forest Classifier, Logistic Regression, Naive Bayes Classifier, and SVM. Performed feature engineering, scaling, and feature importance analysis to identify key factors affecting wine quality.
DisasterGuard: Home Security System using Arduino and Sensors
Created a device using sensors and Arduino for home security system. Detects earthquake, gas leakage, smoke and intruder and alerts users through SMS and buzzer.
Pet Care: Veterinary and Adoption Services Platform
Created pet care system with food, medicine, grooming and cleaning, veterinarian and adoption services. Used CSS, HTML, and JavaScript for the front end, PHP for the back end, and MySQL as the database.