Portfolio Website - Copy this React, Tailwind Component to your project

React Portfolio Website Components for ML/CP Student 1. Header Component Your name and possibly a logo Navigation menu (responsive for mobile) Links: Home, About, Projects, Skills, Achievements, Contact Tailwind classes for responsive design 2. Hero Section Component Engaging introduction (e.g., "Aspiring Machine Learning Engineer & Competitive Programmer") Brief statement about your passion for ML and CP Call to action: "View Projects" or "Check Out My Algorithms" Optional: Animated or interactive ML related visual (e.g., neural network visualization) Tailwind classes for full width responsive layout 3. About Me Component Professional photo Academic background (university, major, expected graduation) Brief bio highlighting your interest in ML and competitive programming Research interests or areas of focus within ML Link to your CV/resume Tailwind utility classes for layout and typography 4. Projects Showcase Component Grid of project cards, categorized by type (ML, CP, Web Dev) Each card includes: Project title Brief description Technologies/algorithms used Links to GitHub, paper (if applicable), or live demo For ML projects: Include metrics, datasets used, or model architecture For CP projects: Include problem difficulty, platform (e.g., CodeForces, LeetCode) For web projects: Highlight MERN stack usage Filter functionality by category (ML, CP, Web) Tailwind classes for responsive grid layout 5. Skills/Technologies Component Grouped by category: Machine Learning: Python, TensorFlow, PyTorch, Scikit learn, etc. Competitive Programming: C++, algorithms, data structures Web Development: MERN stack (MongoDB, Express.js, React, Node.js) Tools: Git, Jupyter Notebooks, Docker, etc. Visual representation of skill levels (e.g., progress bars) Tailwind classes for grid layout and custom styling 6. Achievements Component Competitive programming rankings and achievements Hackathon participations and awards Academic honors or scholarships Publications or conference presentations (if any) Tailwind classes for list or card based layout 7. Blog or Technical Writing Section (Optional) Summaries or links to your technical blog posts Topics could include ML concepts, algorithm explanations, or coding tips Tailwind classes for article preview cards 8. GitHub Activity Component Visual representation of your GitHub contributions Highlighted repositories related to ML and CP Tailwind classes for styling GitHub like contribution graph 9. Contact Form Component Simple form with name, email, and message fields Optional dropdown for contact reason (e.g., Collaboration, Question, Opportunity) Integration with a backend service or email API Tailwind classes for form styling 10. Footer Component Links to professional profiles (GitHub, LinkedIn, LeetCode, Kaggle) Optional links to your technical blog or Medium profile Copyright information Tailwind classes for styling and spacing Additional Sections (Optional): Research Interests: Briefly describe areas of ML you're passionate about Coursework: List relevant advanced courses you've taken Certifications: Display any relevant certifications in ML or programming Technical Considerations: Use React hooks for state management and side effects Implement smooth scrolling between sections Ensure responsive design using Tailwind's responsive classes Add subtle animations to enhance user experience (e.g., on scroll or hover effects) Optimize images and lazy load components for performance Consider adding a dark mode toggle using Tailwind's dark mode feature