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this.env defines, locks, and hashes the environment to establish a reliable and secure operational context. By detecting and responding to changes, it ensures consistency and integrity, especially for intelligent systems and machine learning applications.
Enterprise environment management platform with integrated observability and AI automation. Kubernetes-native, multi-cloud support for AWS, Azure, GCP.
This repository provides tools and scripts to simplify the creation and management of custom Google Compute Engine (GCE) Virtual Machines optimized for use with Google Cloud Colab. It focuses on project, zone, and instance customization to tailor the VM environment to specific Colab workflows.
A Building Management System (BMS) for managing a smart home mockup, featuring three subsystems: Access Control, Environment Management, and Security Management. This project integrates various functionalities such as energy monitoring, environmental control, and secure access management.
envman: A command-line tool to manage environment variable profiles. Create, edit, list, view, and delete profiles using an interactive text-based UI. Ideal for managing configurations across different projects and environments.
A reproducible Docker-based pipeline for running machine learning experiments with GPU support. This repository provides pre-configured Docker images, environment files, and scripts for: - Setting up GPU-enabled containers - Running training and inference - Managing environments reproducibly
This repository contains all the assignments, projects, internal tests and OBE papers & solutions for Semester VII for the course B.tech (IT & MI) for Cluster Innovation Centre.
I built a News Research Tool with Streamlit and LangChain that fetches news articles from URLs, processes them with text splitting and embeddings, and stores them in a FAISS vector DB. Users can query articles via a RetrievalQA chain to get precise, source-backed insights—showcasing my skills in LLMs and vector search.
A web application that extracts addresses from text using OpenAI’s GPT model, then geocodes and visualizes them with interactive markers on a Google Map via the Google Maps API.
📂 Automate file processing by monitoring directories and triggering agents when files are dropped, enabling flexible workflows and parallel task execution.