Projects
A selection of my projects in machine learning and AI, demonstrating practical applications from predictive modeling to intelligent systems. I’ve built end-to-end pipelines, implemented classification and NLP models, and developed AI-powered tools to solve real-world problems.
FlexQBot- AI Chatbot
Chatbot Developer
Led the development and deployment of an AI-driven training portal with a collaborative UX and content team. Built an AI chatbot for automated doubt resolution, integrated sentiment analysis to boost engagement by 34%, and automated 80% of knowledge base ingestion through a semantic pipeline.
Fraud Detection System
Machine Learning Model – Fraud Detection
Built a machine learning pipeline to detect fraudulent transactions using Logistic Regression. Handled mixed data types with preprocessing, feature encoding, and modular pipelines in Scikit-learn, enabling reliable classification of legitimate vs. fraudulent transactions for finance and e-commerce applications.
Railway Track Fault Detection
Deep Learning Model – Railway Safety
Developed a deep learning pipeline to detect defective railway tracks using CNN and Xception models. Applied preprocessing, visualization, and transfer learning in TensorFlow/Keras, achieving up to 100% accuracy and demonstrating the potential of AI for automated railway infrastructure monitoring.
Laptop Price Prediction
Machine Learning Model – Laptop Price Estimation
Built a regression-based ML pipeline to predict laptop prices using specifications such as brand, CPU, GPU, RAM, and storage. Implemented preprocessing and feature encoding, trained a Gradient Boosting Regressor, and deployed the model as an interactive Streamlit web app, enabling real-time price predictions based on user inputs.
Car Rental System
Django Web Application – DriveEasy Car Rental
Developed a full-stack Django-based car rental platform with user authentication, car listings, and a booking system. Implemented OTP-based password reset via Gmail SMTP, session handling, and a responsive frontend using HTML, CSS, Bootstrap, and JavaScript. Integrated the Django REST Framework for API-based scalability and leveraged Django Admin for managing cars, users, and bookings.
Movie Recommendation System
Intelligent Content-Based Suggestions
Engineered a personalized recommendation engine leveraging advanced data preprocessing, feature engineering, and similarity-based algorithms to generate context-aware movie suggestions aligned with user preferences. Developed in Python, the system demonstrates practical application of information retrieval and recommendation system methodologies for enhanced user engagement.
