This project is Genratve AI and AI-powered content generation tool that leverages Hugging Face's models to create customized content based on user queries. The application is built using Streamlit and provides an interactive UI for generating content tailored to different age groups and task types.

V.R.I.N.D.A. (Virtual Responsive Intelligent Neural Data-driven Assistant) is a Python-based AI designed for efficient task automation and intelligent interactions. Leveraging NLP and machine learning, VRINDA excels in understanding and responding to user inputs with precision and adaptability.

GenAI

AI Test Manager is a smart tool that helps you generate use cases and test cases automatically using AI, and easily export them to Excel for sharing or documentation

LangChainRunnables is a Python-based project showcasing and learing five distinct LangChain workflows—Branch, Lambda, Parallel, Passthrough, and Sequence—using OpenRouter’s free API. It demonstrates AIdriven text processing tasks generating facts, summarizing reports, creating notes and quizzes, responding to sentiment feedback, and crafting jokes

This repository is a hands-on implementation of Generative AI: LangChain Models, Build, and Explore LLM-Models. It showcases the core fundamentals of LangChain, OpenAI/Gemini integrations, and Hugging Face models.

AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek, Gemini and 300+ models

This project demonstrates the power of LangChain by implementing four distinct workflows—simple, sequential, parallel, and conditional chains—using OpenRouter’s DeepSeek model. It processes text inputs to generate facts, summaries, notes, quizzes, and sentiment-based responses and more.