Automated pipeline for lens modelling based on lenstronomy

Tool for automated generation of computational workflows.

[ICML 2025 Oral] This is the official repository of the paper "What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities"

This project promulgates an automated end-to-end ML pipeline that trains a biLSTM network for sentiment analysis, experiment tracking, benchmarking by model testing and evaluation, model transitioning to production followed by deployment into cloud instance via CI/CD

Identifies the faulty wafer before it can be used for the fabrication of integrated circuits and, in photovoltaics, to manufacture solar cells. The project retrains itself after every prediction, making it more robust and generalized over time.

An automated pipeline for homology-modeling based on modeller

Production-ready data pipeline with Jupyter notebook, SQLite database modeling (star schema), and automated ETL workflows for customer churn analysis and segmentation.

SlideGen is an AI-powered tool that transforms any topic into a ready-to-present PowerPoint presentation using OpenAI's GPT and DALL·E APIs. Whether you're an educator, professional, or student, SlideGen simplifies the slide creation process across three modes: Desktop GUI (Tkinter), Web app (Streamlit), Airtable automation; all given for free😁✌🏻

A Node.js CRUD API with PostgreSQL database integration, containerized using Docker, and automated with a Jenkins CI/CD pipeline. The project includes testing with Jest and Supertest, environment variable management via .env files, and seamless Docker deployment.

🚀 End-to-end ML project: 93% accurate churn prediction + customer segmentation with Random Forest & K-Means. Features automated pipeline, Streamlit dashboard, comprehensive testing, and cross-platform deployment. Production-ready with 505K+ customer dataset analysis.

Machine learning system for phishing URL detection with MLOps pipeline, MongoDB integration, and FastAPI deployment.

The aim is to detect a fault in a Wafer sensor by looking at the data that is generated by the sensor and then classifying them into Good Wafer (-1) or Faulty/Bad Wafer (1). Used Automated Process for Training and Predictions Process. For the training Process, the Program automatically Selects the Best performing out of 5 different Classificatio…

End-to-end BTC price prediction using ML (XGBoost, RF, Lasso), CoinGecko API, Power BI, and Windows automation. Includes daily updates, weekly retraining, and dashboards.

AutoDataAnalyzer: Automate data ingestion, analysis, and visualization with AI/ML-powered pipelines. Features natural language query processing, interactive Plotly visualizations, and seamless deployment via Docker.

FinCoach is the capstone project of the 2025 Coding Camp, designed to predict stock prices for 10 major publicly listed companies in Indonesia. This repository includes the trained machine learning models along with their end-to-end pipelines for data processing, prediction, and performance evaluation.

🤖 Automated Q&A Dataset Generation Pipeline powered by LLMs. Multi-stage pipeline that searches, filters, extracts and transforms web content into high-quality question-answer datasets for LLM training. Supports multiple LLM providers (Groq, Mistral, Ollama) and search engines.