End-to-end offline OCR and semantic parsing pipeline for identity documents based on YOLOv11, PaddleOCR, and LLaMA-3.1.

ReHGNN is a deep learning framework for intelligent server recommendation in distributed large-model deployment scenarios.

A robust, modular, and production-ready platform for solar power system data analysis, machine learning, and prediction. Built with ZenML, Streamlit, MLflow, and a rich Python data science stack, this project enables end-to-end workflows from data ingestion and EDA to model training, deployment, inference and experiment tracking

The MultiGen pathfinding model aims to predict a suitable model invocation path based on user input requirements, using known model information.

A production-ready, frugal, sovereign AI system that orchestrates India's open-source language models to achieve state-of-the-art reasoning on consumer hardware through Test-Time Compute (TTC) and Cognitive Serialization.