🚀 Top Machine Learning & Deep Learning Projects

Welcome to my collection of AI, Machine Learning, and Deep Learning projects, all developed and deployed with real-world datasets.

Each project demonstrates model development, evaluation, and deployment — applying ML/DL algorithms to solve practical problem.

📚 AI/ML Projects Overview

#	Project Name	GitHub Repo	Description
1	Breast Cancer Prediction Model	Code	Predicts whether a tumor is benign or malignant using diagnostic features.
2	Churn Prediction Model	Code	Predicts customer churn for telecom/financial companies using ML.
3	Diabetes Prediction Model	Code	Predicts the likelihood of diabetes based on medical and lifestyle inputs.
4	Handwritten Model	Code	Recognizes handwritten digits using a CNN trained on the MNIST dataset.
5	StockMarket Prediction Model	Code	Predicts stock trends using time-series forecasting models.
6	Sentiment Analysis Model	Code	Analyzes and classifies text sentiment (Positive / Negative / Neutral).
7	Movie Recommendation Model	Code	Recommends movies using a content-based recommendation algorithm.
8	Loan Prediction Model	Code	Predicts whether a loan application will be approved or rejected.
9	HousePrice Prediction Model	Code	Estimates house prices using regression-based ML models.
10	Image Classification Model	Code	Classifies images into categories using a deep CNN model.
11	QA RAG GenAi Project	Code	Fetches and parses website content using a URL.
12	Job Placement Prediction Model	Code	Tells the person eligible for job or not.
13	Rice Disease Prediction Model	Code	Detect the disease on the rice using picture.
14	SVEIR Stochastic Worm Model	Code	Detect the worm Using Stochastic Model.
15	AgentPay-AI Model	Code	Pay-Per-Use Generative AI Agent with Simulated USDC Billing.
16	DevBug-AI Model	Code	AI tool that automatically classifies bug reports and recommends developer(s)
17	AuditAI Model	Code	AI-powered website auditing tool that analyzes SEO, performance, accessibility
18	Smartscore-AI Model	Code	Intelligent Retail Shelf Monitoring Simulation SmartStore AI
19	MoltTrend-Claw Model	Code	Autonomous Crypto Intelligence Agent built for the SURGE × OpenClaw
20	AI-Trading-Agents	Code	Live Kraken data · GPT-4o signals · Paper trading
21	EduGemma-AI-Tutor	Code	Your adaptive AI tutor, powered by Gemma 4. Ask me anything
22	MoltTrend-Claw-AI-Model	Code	Autonomous Crypto Intelligence Agent built for the SURGE
23	RepoPilot-AI	Code	AI-powered GitHub repository analyzer built for IBM Bob Hackathon 2026
24	VanGuard	Code	OPEN WEB THREAT INTELLIGENCE
25	Gesture-Control-CV-Project	Code	Real-time hand gesture drawing using Python + OpenCV + MediaPipe
26	ActionPilot	Code	ActionPilot is an AI meeting execution agent
27	PromptGuard-AI	Code	Real-time AI prompt threat detection powered by RAG, Groq, and llama-3.3-70b-versatile

🧠 Technologies Used

Core Language

Classical ML (Projects 1–3, 6–9, 12)

Library	Usage
`scikit-learn`	Logistic Regression, SVM, Random Forest, Decision Tree, KNN
`XGBoost`	Gradient boosting for tabular classification & regression
`LightGBM`	Fast gradient boosting (churn, loan, job placement)

Deep Learning (Projects 4, 10, 13)

Library	Usage
`TensorFlow / Keras`	CNN for MNIST digit recognition & image classification
`PyTorch`	CNN for rice disease detection

Time-Series & Finance (Projects 5, 19, 20, 22)

Library	Usage
`statsmodels`	ARIMA / SARIMA for stock forecasting
`LSTM (Keras)`	Sequential prediction for stock trends
`ccxt`	Live Kraken exchange data for trading agents
`OpenAI GPT-4o`	Signal generation for AI trading agents

NLP & Generative AI (Projects 6, 11, 15, 16, 21, 23, 27)

Library	Usage
`LangChain`	RAG pipeline for QA, PromptGuard, RepoPilot
`FAISS / ChromaDB`	Vector store for retrieval-augmented generation
`Hugging Face Transformers`	Sentiment analysis, text classification
`Groq + LLaMA-3.3-70b`	Prompt threat detection (PromptGuard-AI)
`Gemma 4`	Adaptive tutoring (EduGemma)
`OpenAI API`	AgentPay, DevBug, AuditAI

Computer Vision (Projects 4, 10, 13, 25)

Library	Usage
`OpenCV`	Real-time gesture control & image processing
`MediaPipe`	Hand landmark detection for gesture drawing
`PIL / Pillow`	Image preprocessing

Math & Simulation (Project 14)

Library	Usage
`NumPy / SciPy`	Stochastic differential equations for SVEIR worm model
`Matplotlib`	Simulation visualization

Data Analysis & Visualization

Library	Usage
`NumPy`, `Pandas`	Data manipulation across all projects
`Matplotlib`, `Seaborn`	Statistical plots, confusion matrices, heatmaps
`Plotly`	Interactive dashboards (AuditAI, SmartScore-AI)

Deployment & Infrastructure

Tool	Usage
`Streamlit`	Web UI for most projects
`FastAPI`	REST API backend for agent-based projects
`Hugging Face Spaces`	Hosted model demos
`GitHub Pages`	Static portfolio deployment
`Git & GitHub`	Version control across all projects