#scikit-learn

AI-powered natural-language BI platform: NL→SQL→dashboard plus a power-user SQL editor, root-cause, proactive AI digest, agentic copilot, semantic/trust layer, workspaces + RBAC + row-level security, embedded analytics + white-label, FP&A scenario planning. FastAPI + React.

End-to-end Employee Attrition Prediction system with data analysis, feature engineering, model comparison, explainable AI (SHAP), FastAPI deployment, and Docker.

AI-based anticipatory congestion prediction framework for 6G IoT backhaul networks using MLP and SDN.

Full-stack SaaS product analytics platform: executive KPIs, product analytics, ML customer segmentation, XGBoost churn prediction, and a Gemini-powered AI analyst copilot. Encore.ts + Next.js + Python/scikit-learn/XGBoost.

AI-powered Streamlit app that profiles CSV datasets, cleans data, trains baseline ML models, generates charts, and writes analysis reports.

Enterprise Multi-Agent Microgrid SCADA & Smart City Traffic Control Cockpit powered by Google Gemini 2.5 AI, 3/3 BFT Consensus, SHA-256 Cryptographic Ledger, Kaggle Machine Learning Predictors, and 10-Country Currency Matrix.

AI-assisted manufacturing quality analytics dashboard for scrap prediction, root cause investigation, and engineering action recommendations.

Machine Learning project predicting airline customer booking behaviour using Random Forest, feature engineering, and predictive analytics | British Airways Data Science Job Simulation (Forage)

An end-to-end AI-powered breast cancer diagnosis system using Machine Learning, FastAPI, and Streamlit for real-time cancer risk prediction and healthcare analytics.

Empirical study: do LLM-generated features improve tabular ML models? 10 LLMs, 3 datasets, 3 algorithms, 219 experiments.

Breast Cancer Classification using Machine Learning

An automated machine learning pipeline that performs EDA, preprocessing, model training, evaluation, and best model selection for classification and regression datasets.

🐝 State-of-the-art Python AutoML metaframework — fuses GenAI (built on Firefly Agentic / Pydantic AI) with classical ML & Deep Learning. Hexagonal, secure-by-default, governed.

AI-powered ATS system for resume screening, candidate classification, and recommendation using NLP, Machine Learning, ANN, and Graph Algorithms.

🤖 NLP FAQ Chatbot — NLTK preprocessing, TF-IDF + cosine similarity matching, animated chat UI. CodeAlpha AI Internship Task 2.

AI/ML Internship Task 1 - Built and evaluated a Linear Regression model to predict California house prices

ClusterAI — AI-powered Flask web app for e-commerce customer segmentation using K-Means clustering, PCA visualizations, and marketing insights per segment.