Projects

Game-Forge

Python (Google Colab), AI, GPT

Game Forge utilizes AI to generate innovative game ideas and visuals, blending data analysis, GPT-2, and GAN technologies.

Game-Forge

GitHub Link

Deep-Audio-Classify

Python (Google Colab), TensorFlow

Expert in deep audio classification, adept at developing efficient models for diverse applications using neural networks and signal processing.

Deep-Audio-Classify

GitHub Link

Quotes-2-Video-Generator

Python (Google Colab), TensorFlow

Transform motivational quotes into uplifting videos using AI-driven text-to-video synthesis for an inspiring visual experience.

Quotes-2-Video-Generator

GitHub Link

Parkinson's Detection and Impact Analysis

Python (Google Colab), Matplotlib, Seaborn, XGBoost

I led a groundbreaking project using advanced machine learning to develop a precise early detection model for Parkinson's disease. I also conducted a comprehensive analysis of its societal and economic impact, showcasing my expertise in data analysis and healthcare research.

Parkinsons Detection and Impact Analysis

GitHub Link

LendingClub Loan Repayment Prediction

Python (Kaggle), Seaborn, Decision Tree, Random Forest Tree

I led a dynamic project focused on developing a robust loan repayment prediction model for LendingClub, a leading peer-to-peer lending platform. Leveraging advanced machine learning techniques and a vast dataset of historical loan data, I crafted a predictive model that accurately assesses borrowers

Lending Club Loan Repayment Prediction

GitHub Link

Fact Check - Fake News Detection

Python, Seaborn, Logistics Regression, Decision Tree, Gradient Boosting, Random Forest Tree

“Fact Check: Harnessing advanced machine learning algorithms to detect and combat the proliferation of fake content across various media platforms, ensuring reliable information dissemination in real-time."

Fact Check Fake News Detection

GitHub Link

Heart Disease Analysis

Python, Matplotlib, Seaborn, Logistics Regression, K-Neighbours Classifier, Random Forest Tree, RandomizedSearch CV, GridSearch CV

By leveraging machine learning algorithms and comprehensive data analysis, this project aims to provide a valuable tool for identifying potential risk factors and predicting heart disease based on age, gender, maximum heart rate, and chest pain type. The insights gained from this analysis can contribute to preventive healthcare strategies and personalized patient care.

Heart Disease Analysis

GitHub Link

Some of the other On-going Projects :

Rasa Email Bot

GitHub Link

Page updated

Google Sites

Report abuse