Deep Learning · CV
Brain Tumour Detection System
Developed a deep learning model using VGG16 transfer learning achieving 97.75% classification accuracy. Implemented Grad-CAM visualization to improve model interpretability and highlight tumour regions.
Machine Learning · Flask
House Price Prediction System
Built a machine learning model using Ridge Regression (R² = 84%). Performed data preprocessing and feature engineering, then deployed via a Flask web application.
NLP · Classification
Spam Detection using ML
Built an NLP spam detection model using TF-IDF vectorization and Multinomial Naive Bayes, achieving 97.80% accuracy on SMS/email datasets.
Deep Learning · CNN
Cat vs Dog Image Classification
Developed a CNN using TensorFlow and Keras to classify 32,461 images of cats and dogs, achieving 97.00% accuracy with data augmentation.
Data Analysis · Excel
Excel Funds Allocation Analysis
Analyzed regional health data to optimize fund allocation for improved public health outcomes. Identified high-priority regions using advanced data analysis and visualization techniques.
ML · Research · Published
Breast Cancer Classification
Published IEEE research: breast cancer classification using XGBoost, Random Forest, SVM. Full pipeline from EDA to ROC-AUC evaluation for malignant vs benign tumour prediction.
EDA · Data Analytics
Netflix Trend Analysis
Extensively analyzed global Netflix datasets to uncover streaming trends, regional content distributions, and genre evolutions using Python visualization paradigms.
NLP · Parse Analytics
WhatsApp Chat Analyser
Engineered a comprehensive text-parsing tool to transform raw exported WhatsApp conversation logs into structured timeline insights, activity heatmaps, and keyword frequencies.
Logic · Programming
Number Guessing Game
A foundational logic-based programming project allowing users to interactively play against a randomized algorithmic number generator with active conditional feedback loops.
