Ashfiquzzaman Sajal's Projects
Introducing the AI Prompt Marketplace: a hub for developers to explore and exchange powerful AI prompts. Built with Angular, it facilitates seamless sharing and utilization of prompt-based models, fostering innovation in AI development.
The AI web application is designed to respond to inquiries within a specific context, utilizing the API provided by Hugging Face. It has been developed using Next.js and Tailwind CSS.
Developed a user-friendly Angular quiz application enabling users to answer multiple-choice questions and receive a comprehensive score report upon completion.
A simple quiz app using angular!
Config files for my GitHub profile.
Natural language UI
CryptoConnect: A decentralized finance (DeFi) app for managing assets, exploring blockchain, and engaging with the community. Built with React.js, Chakra UI, and web3.js.
Simple currency converter app using vue.
devFind is an open source project that aims to create a platform for developers to showcase their skills and connect with potential collaborators, all in a user-friendly and searchable format.
Simple django project
AI model to summarize long text.
Frontend of eCommerce built with vuejs and vite.
A simple todo web api built with express, typescript, prisma.
Flask app
A simple backend using gin and postgresql
Making a app with Laravel, InertiaJs, Vue3. Just for learning purpose.
Milan is a hub to connect users, charities, and NGOs thus connecting help and need for a good cause.
Generate ai image via huggingface api. Created with nextjs and tailwind css.
A simple blog using nextsj, typescript, prisma, tailwind and shadcn ui
This image classification AI app, developed with Next.js and Typescript, leverages an API provided by Huggingface. Through Next.js, it offers efficient rendering and server-side rendering capabilities for web applications. Typescript ensures robust type checking and enhanced code maintainability.
This web application is built using Next.js and TypeScript. It leverages the Huggingface API for text generation. Users can input prompts, and the app generates creative and contextually relevant text based on the provided input.
Introducing a sleek web app displaying developers' top projects, featuring GitHub repo links and previews for quick exploration and collaboration.
Portfolio : Showcasing project of Ashfiquzzaman Sajal. Built with Nextjs, Typescript and tailwind css.
React app with easy peasy state managemant.
Express js and react full stack app.