elanchezhian2712 / handwritten-digit-recognition-using-mnist-dataset-task-3-

Discover the Handwritten Digit Recognition! 🚀 Unleash the power of neural networks with this code snippet, as it delves into the world of AI-driven Handwritten Digit Recognition. The celebrated MNIST dataset serves as the foundation, guiding the process of building, training, and evaluating models for precise digit predictions.

Hi 👋, I'm Elanchezhian Muthukumar

A Passionate Full Stack Developer from India

👨‍💻 About Me

I'm a Frontend Developer specializing in building and optimizing user-centric, high-impact web applications. Currently expanding my skillset with Remix.js.

• 🌱 I’m currently learning Remix.js

• 💬 Ask me about Web Development

• 📫 How to reach me [email protected]

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💻 Projects

VIRTUAL ASSISTANCE FOR INDIVIDUALS WITH DISABILITIES

Technologies: Python, Flask, HTML, CSS, JavaScript, Bootstrap, API

Developed an inclusive desktop AI system, enhancing device interaction efficiency by 50% and providing substantial support for over 10 individuals with disabilities.

DUOLINGO CLONE

Technologies: Next.js, React.js, PostgreSQL, AI, Clerk, Shadcn UI, Stripe

Engineered a cutting-edge Next.js application featuring AI-generated voices, Shadcn UI components, Clerk-based authentication, and Stripe payment integration, resulting in a 35% increase in customer satisfaction.

SaaS WEBSITE BUILDER

Technologies: Next.js, Bun, Stripe Connect, MySQL, Tailwind, Prisma ORM, Clerk

Developed a comprehensive B2B2B SaaS platform with website building, hosting, Stripe integration, role-based access, and custom dashboards, featuring light/dark modes, agency management, custom checkouts, media storage, and a landing page.