Implemented a transfer learning-based image classifier using the Xception model, achieving high test accuracy on a dataset of 25,000+ images. Applied data augmentation and fine-tuning to enhance model performance and generalization.
An AI-powered web app that generates personalized, role-specific interview questions and evaluates candidate responses. Built using Gemini API and Streamlit for a seamless, interactive user experience.
A recommendation system which takes a movie as input and outputs 5 similar movies. These recommendations are decided using cosine similarity.
Build a Face-Mask detector using OpenCV and Keras. This system detects a persons face and identifies if they are wearing a mask.
Machine Learning Algorithms - Regression, Trees, Ensemble models and Clustering, 100% implemented from scratch in Python.
Multi Page Report analysing IMDB's Top 1000 Movies Data and allowing Individual Movie Analysis.
Built a lane lines detection system which uses masking and Hough lines techniques in OpenCV