Project 1: Personal Loan Approval Prediction System

Develop a machine learning model to predict whether a loan application will be approved based on applicant details, enabling efficient decision-making in financial institutions.

Project 2: Customer Churn Prediction for SaaS Platforms

Build a machine learning model to predict whether a customer will stop using a subscription-based service, helping companies improve retention strategies.

Project 3 : Real-Time Traffic Pattern Clustering

Create an unsupervised learning model to cluster traffic patterns using real-world traffic data, aiding in congestion management and route optimization

Project 4 : Intelligent Image Captioning System

Develop a deep learning-based system to generate descriptive captions for images by integrating Convolutional Neural Networks (CNNs) with Recurrent Neural Networks (RNNs)

Project 5 : AI-Powered Chatbot for Sentiment-Aware Customer Support

Build a machine learning model to predict whether a customer will stop using a subscription-based service, helping companies improve retention strategies.

Project 6 : Real-Time Object Detection and Tracking

Build a real-time object detection and tracking system using YOLO (You Only Look Once) and apply it to scenarios like traffic monitoring or surveillance.