Access the latest AI models like ChatGPT, LLaMA, Deepseek, Diffusion, Hugging face, and beyond through a unified prompt layer and performance evaluation

ContentSnap is a powerful browser extension that leverages cutting-edge NLP models to summarize web articles, blogs, and research papers into easy-to-digest formats — all in one click.

This provides sample codes that uses Microsoft.Extensions.AI for locally running LLMs through Docker Model Runner, Foundry Local, Hugging Face and Ollama

Generate Images From A Text Prompt Using Various Stable Diffusion Models

🔬 Annotating whole slide images through the browser

Powerful and user friendly full-stack web application for Text Summarization using NodeJS, Express, HTML, CSS, JavaScript and the Hugging Face Inference API.

NexusAI is a framework that leverages large language models (LLMs) to manage and integrate various AI models from the Hugging Face community to solve complex AI tasks. By using LLaMA-3 8B for task planning, model selection, execution of subtasks, and summarizing results, NexusAI addresses tasks across multiple domains like language, vision.

A 3D-shop to Customize your own Tshirt's Logos and Patterns.

Cloud-deployed recipe generator using user-input ingredients and markdown formatting.

AI Text Summarizer and Text Translator Web Application

"Generate stunning AI-powered images from user prompts using Stable Diffusion 3.5. Customize output with color palettes, aspect ratios, and image references. Built with FastAPI backend and real-time frontend integration for seamless image generation."

Textractify Hugging Face is an innovative project designed to automate text extraction from images using pre-trained models from the Hugging Face platform.

Shrek 🦜🦜

This app leverages the power of Artificial Intelligence APIs to provide concise summaries of long texts. Whether you have a lengthy article, research paper, or any other text document that you want to summarize quickly, our app can assist you.

A full-stack AI-powered image captioning app built with ReactJS (using Vite) and Flask. Users can upload images, and the app generates descriptive captions using Hugging Face’s BLIP model. Perfect for showcasing AI integration and web development skills in a mini-project.

Build your Resume and hunt a Job!

A simple AI-powered sentiment analysis feedback app built with ReactJS (using Vite) and Flask. Users can input text feedback, and the app analyzes its sentiment (Positive, Negative, or Neutral) using Hugging Face’s pre-trained model. Ideal for showcasing AI integration and web development skills in a mini-project.

Document based Q&A Chatbot with FastAPI, LangChain, HuggingFace

Microsoft Edge Extention which paraphrase text.

A versatile Discord bot built with Node.js, integrating Google Gemini AI for advanced Q&A and Hugging Face for high-quality image generation.