Projects

A real-time machine learning system for detecting fraudulent transactions. MLOps solution with FastAPI, feature engineering, and action recommendations.

A comprehensive MLOps system for predicting airline prices with AI-powered scenario planning and booking optimization. This project implements a complete real-time machine learning pipeline with feature engineering, model training and inference.

Built CNN models and VIT model to predict breast cancer for a patient

Built an ML model that forecasts the price of a flight based on its booking date based on historical booking data that includes departure date, booking date, airline, destination.

Vehicle feature tracking and speed estimation using optical flow algorithm with YOLO object detection from video footage

A computer vision solution that aims to detect persons in video feed, then their faces and finally perform gender classification.

Implement a computer vision solution that aims to monitor social distancing between people, identify high-risk areas and non-compliance.

AI Cybersecurity Companion and scam/fraud prevention mobile app built for the Google Gemini Competition.

A functional data processing pipeline that accepts an input file, allows specifying both input and output formats, applies specified transformations, and produces a resulting output file.

A web app that offers a variety of image processing features, including object detection, resizing, filtering, text extraction, compression, comparison, and pose detection.