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 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)

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

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

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

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

Wine Quality Prediction Classification Dataset

Predict whether a news article is real or fake.

Recommend products based on user behavior

Classify wine quality from physicochemical properties

Neural Architecture Search using Differential Evolution

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

Classify SMS or email messages as spam or not spam using text content, word frequency, and message m...

Estimate house sale prices using location, property size, room count, age, and neighborhood characte...