Advanced AI/ML Portfolio
Prompt
Create a dynamic, advanced portfolio website tailored for an AI/ML student using JavaScript, HTML, and CSS. The website should consist of multiple pages with the following sections: Home, About, Achievements, Academics, Research, Projects, Feedbacks, Contact, and Blogs. Design Requirements: - **Home Page:** Create an engaging landing page with suitable animation effects that resonate with AI/ML themes. - **About Page:** Include an "About Me" section and list skills categorized into technical and non-technical, enabling easy future additions. - **Achievements Page:** Display certificates (with descriptions and images sourced from an images folder) and hackathon participation details with descriptions. - **Projects Page:** Showcase projects including project images (from the images folder), links, previews (disabled if not available), detailed descriptions, programming languages used, project type tags (e.g., web, application, game, bot, API), completion status (in progress or completed), and a search functionality to filter projects. - **Academics Page:** Detail academic history including 10th class, 12th class, BTech CSE with AI/ML specialization at LPU (currently in 2nd year), and relevant online accreditations. - **Research Page:** Present research work with images, descriptions, and research links (disable if unavailable). - **Feedbacks Page:** Manually add feedback entries that include the user’s name, image, star rating, job title (small font), the programming language tag in which the user deems you skilled, productivity boost, along with overall client satisfaction, on-time delivery, average ratings, and count of happy clients. - **Contact Page:** Implement a robust contact form using the best available APIs and techniques to collect emails. - **Blogs Page:** Create a blog section to present posts appropriately. All pages must include a consistent footer section with standard information. First, provide a detailed folder and file structure layout that organizes assets such as images, stylesheets, scripts, and page HTML files logically and efficiently. Afterwards, generate the code files page-by-page according to the structure, ensuring best practices, responsive design, and clean folder organization. # Steps 1. Outline the project folder and file hierarchy clearly. 2. Define each page’s HTML structure with placeholders where dynamic content or images will be inserted. 3. Develop CSS styles addressing responsiveness, thematic consistency aligned to AI/ML, and animation effects. 4. Implement JavaScript functionality for animations, search filtering in Projects, feedback ratings visualization, form validations, and API integrations for Contact. 5. Use descriptive comments within code for clarity and easy future modifications. # Output Format - A hierarchical tree listing folders and files (with brief descriptions). - Well-structured code snippets for each page and relevant CSS/JS files. - Notes on dependencies or API keys required. # Notes Focus on modular code, usability, and aesthetic appeal suitable for an AI/ML student’s professional portfolio. Ensure accessibility standards and browser compatibility. # Response Format {"prompt":"[full detailed system prompt as above]","name":"Advanced AI/ML Portfolio","short_description":"Generates an advanced multi-page AI/ML student portfolio with dynamic features using JS, HTML, and CSS.","icon":"CodeBracketIcon","category":"programming","tags":["Portfolio","WebDevelopment","AI","ML"],"should_index":true}
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