Projects

Customer Churn Prediction using Artificial Neural Networks
Customer Churn Prediction using Artificial Neural Networks

Built an ANN model to predict customer churn with optimized accuracy.

Movie Review Sentiment Classification with Recurrent Neural Network
Movie Review Sentiment Classification with Recurrent Neural Network

Implemented an end-to-end RNN pipeline that processes movie reviews and accurately determines sentiment, showcasing deep learning in natural language processing.

LSTM Based Generative Text Model Next Word Prediction with Early Stopping
LSTM Based Generative Text Model Next Word Prediction with Early Stopping

Implemented an LSTM-based generative model for next-word prediction, leveraging early stopping to improve training efficiency.

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Phishing Website Detection using Machine Learning(End to end Pipeline)

Developed an end-to-end ML pipeline for phishing website detection with automated preprocessing, drift monitoring, and optimized classification models.

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Movie Recommendation System

Developed a movie recommendation system, improving model accuracy by 20% through API integration and collaborated on algorithm refinement, achieving higher prediction precision.

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A Full-Spectrum Data Mining Framework for COVID-19 Response in Texas: From Disparity Analysis to Predictive Risk Modeling

Leveraged disparity analysis and predictive modeling to enable data-driven COVID-19 risk insights in Texas.

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Healthcare Multiagent System

Designed a multi-agent AI architecture to simulate intelligent coordination in healthcare systems.

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Forest Fire Predictive Modeling using Machine Learning

Developed a machine learning model to predict forest fire risk levels and guide proactive intervention.

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Intelligent Vacuum Cleaner Simulation using AI

Implemented an AI-powered simulation of an intelligent vacuum cleaner for adaptive path planning and obstacle avoidance.

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AI Agent Implementation for Optimal Maze Navigation

Built an AI agent to optimally navigate complex mazes using reinforcement learning strategies.

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N-Queens Problem Solver using Local Search

Solved the N-Queens problem via local search algorithms to efficiently find valid configurations.

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Algorithmic Design of the Connect 4 Game using Python

Developed a high-performance Connect 4 game in Python, leveraging algorithmic design and AI for competitive play.

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End-to-End Scalable ML Project Architecture and Cloud Deployment

Built a full-stack ML project with model serving, API endpoints, and end-to-end deployment orchestration.

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Taj Restaurant Reservation System using Client-Server and Microservice Architecture

Developed a restaurant reservation system using both Client-Server and Microservice architectures, comparing their design and performance trade-offs.