Modern React AI Portfolio Website
Budget: $30 – $250 USD
I need a React-savvy developer to craft a sleek, fully responsive portfolio that puts my Artificial Intelligence work—Machine Learning, Deep Learning, Computer Vision, NLP, Generative Models and more—front and center. The overall look should lean toward a clean, modern aesthetic with smooth page transitions and polished micro-interactions so the site feels alive without being cluttered.
A key requirement is an interactive demo area for each project. When visitors click into a project card, they should be able to run or explore a lightweight, browser-based demonstration of the underlying model (e.g., an image classifier, text generator or style-transfer demo). I’m open to your suggestions on the best way to implement these experiences—TensorFlow.js, ONNX Runtime Web, WebAssembly, or any other robust approach that keeps load times reasonable.
Core scope
• Build the entire front-end with React (Next.js or Vite welcome) and modern JavaScript.
• Ensure flawless responsiveness from large desktop screens down to mobile.
• Design reusable components for project cards, demo modals, skill badges, achievement highlights, and a visually engaging “About” hero section.
• Integrate smooth routing, dark/light mode toggle, and lazy loading for demo assets.
• Deploy to Vercel, Netlify, or a comparable platform, hooking up a simple CMS or JSON/YAML data source so I can add new projects without touching code.
Acceptance criteria
1. Every page scores 90+ on Lighthouse for performance, accessibility, SEO and best practices.
2. Interactive demos load in under three seconds on a mid-tier mobile connection.
3. The site renders error-free across the latest versions of Chrome, Firefox, Safari and Edge.
4. All content (text, project metadata, images) is externalized so future updates don’t require recompiling.
Deliverables
• Source code repository with clear README and setup instructions.
• Production build deployed to my chosen domain.
• Brief hand-off video or live walkthrough explaining how to add or modify projects.
A blog section or deeper AI model visualizations could be interesting future add-ons, but for this phase the primary focus is the polished portfolio experience with interactive demos. Let me know your preferred tech stack, timeline and any earlier AI-centric portfolio examples you’ve shipped—looking forward to collaborating!
A key requirement is an interactive demo area for each project. When visitors click into a project card, they should be able to run or explore a lightweight, browser-based demonstration of the underlying model (e.g., an image classifier, text generator or style-transfer demo). I’m open to your suggestions on the best way to implement these experiences—TensorFlow.js, ONNX Runtime Web, WebAssembly, or any other robust approach that keeps load times reasonable.
Core scope
• Build the entire front-end with React (Next.js or Vite welcome) and modern JavaScript.
• Ensure flawless responsiveness from large desktop screens down to mobile.
• Design reusable components for project cards, demo modals, skill badges, achievement highlights, and a visually engaging “About” hero section.
• Integrate smooth routing, dark/light mode toggle, and lazy loading for demo assets.
• Deploy to Vercel, Netlify, or a comparable platform, hooking up a simple CMS or JSON/YAML data source so I can add new projects without touching code.
Acceptance criteria
1. Every page scores 90+ on Lighthouse for performance, accessibility, SEO and best practices.
2. Interactive demos load in under three seconds on a mid-tier mobile connection.
3. The site renders error-free across the latest versions of Chrome, Firefox, Safari and Edge.
4. All content (text, project metadata, images) is externalized so future updates don’t require recompiling.
Deliverables
• Source code repository with clear README and setup instructions.
• Production build deployed to my chosen domain.
• Brief hand-off video or live walkthrough explaining how to add or modify projects.
A blog section or deeper AI model visualizations could be interesting future add-ons, but for this phase the primary focus is the polished portfolio experience with interactive demos. Let me know your preferred tech stack, timeline and any earlier AI-centric portfolio examples you’ve shipped—looking forward to collaborating!