AI platform for automated research paper analysis, knowledge extraction, and ML experimentation with SHAP explainability and PDF report generation.

An automated-ML library that automates model training completely using simple APIs. Moreover, it provides curated data analysis modules for preprocessing, anomaly/outlier removal, sanity check(bias-variance tradeoffs), data splitter and explainability of model predictions with visualizations.

Automated‑ML automates training and evaluating machine learning models on tabular data with minimal setup.

Autonomous multi-agent Data Science pipeline — upload a CSV, get a trained model, EDA charts, and an executive report. Zero manual intervention. Built with CrewAI · FastAPI · React · XGBoost · WebSockets.

Dataset Auto-Diagnosis Python Library — detect and fix data quality issues (leakage, skewness, outliers, imbalance) before model training.

Automated customer churn prediction pipeline with feature selection, model comparison, and deployment-ready output. Python + scikit-learn.

Automated end-to-end MLOps pipeline for predicting customer purchase likelihood of a wellness tourism package, enabling data-driven marketing through CI/CD-enabled model training and deployment.

An algorithmic bias audit and fairness evaluation of an emergency department clinical triage model using Azure Machine Learning and macro-balanced mitigation strategies.

My first startup failed after corporate life... still best decision I ever made (I will not promote)

Classify wine quality from physicochemical properties

Classify customer churn (yes/no) from usage and account features (classification).

Neural Architecture Search using Differential Evolution

Upload any dataset, explore it, clean it, train 30+ ML models, compare results, and download a full PDF report — all in the browser.

Wine Quality Prediction Classification Dataset

Spine surgery has massive decision variability. Retrospective ML won’t fix it. Curious if a workflow-native, outcome-driven approach could. [D]

Predict whether a news article is real or fake.

Recommend products based on user behavior

Nvidia: End-to-End Test-Time Training for Long Context aka Being Able To Update A Model's Weights In Real-Time As You Use It | "TTT changes the paradigm from re

A simple explanation of Naive Bayes Classification

[D] Why Causality Matters for Production ML: Moving Beyond Correlation