Mini HTML Projects Showcase


Contact Me β€” Kunj Nakrani

Welcome to my profile page. This page is a comprehensive introduction to who I am, what I am learning, what I am building, and how you can reach me for collaboration or feedback.

Introduction βœ‰οΈ πŸ“ž πŸ’» πŸ“š πŸš€

Hello and welcome. I am Kunj Nakrani. I am a beginner in technology who is steadily and consistently building a strong foundation in computer science fundamentals, data structures and algorithms, and practical web development.

As I navigate this journey, I am especially focused on building in public, sharing learnings, iterating on ideas, and collaborating with other learners and builders. My long-term vision is to contribute to meaningful AI tools and products that make learning and building more accessible.

On this page, you will find both my detailed profile and a professional contact form. If you are a fellow learner, a mentor, a potential collaborator, or simply curious about what I am working on, feel free to reach out. I welcome feedback, suggestions, and opportunities to build together.

βœ‰οΈ Contact Β· πŸ“ž Phone Β· πŸ’» Code Β· πŸ“š Learn

This ASCII banner symbolizes my intent to communicate clearly, connect widely, code diligently, study persistently, and aim ambitiously for launch and impact. If these values resonate with you, we already share common ground.

About Me

I am Kunj Nakrani, and I am developing my skills across core computer science subjects and practical development. My immediate focus areas include DSA (Data Structures and Algorithms), Web Development fundamentals, Data Science basics, and exploring AI and ML concepts.

I am preparing for GATE CS, systematically reinforcing concepts, and building problem-solving habits through consistent practice. My learning references include well-known educators and resources: Love Babbar for structured DSA guidance, Coder Army for practical web knowledge, and GoClasses for augmenting computer science understanding.

In parallel with learning, I am building the foundation for a future as an AI startup founder. I aim to create useful, ethical, and reliable tools that help people learn faster and build confidently. I also create content under the brand datastorm.ai, intending to document my journey and share replicable frameworks that others can use.

β€œLearning, building, and creating in public.”

This quote captures my approach. I believe in transparency, iteration, and shared growth. By sharing work-in-progress, I receive feedback sooner, stay accountable, and contribute to a community that thrives on openness.

Skills and Current Focus

I currently work with Web Development and maintain familiarity with beginner-level C++ My DSA basics practice informs how I think about efficiency and structure, even in simple projects. I also explore Web Development fundamentals, focusing on semantic, accessible, and well-organized HTML, as you see on this page with no CSS or JavaScript.

My learning pipeline targets Machine Learning, Data Science, and Full-Stack Development. As I progress, I plan to blend these areas to build practical prototypes, automate repetitive workflows, and eventually architect a scalable AI-driven product.

Beyond tools and languages, I value clear communication, consistent documentation, and effective time management. These meta-skills make technical growth faster and more sustainable.

                                                             
  βš™οΈ  Systems thinking Β· πŸ’» Crafting HTML Β· πŸ“š Studying CS Β· πŸš€ Preparing to launch
        

Projects and Practice

My current projects focus on three pillars: DSA practice, clean HTML artifacts, and structured content creation for learning and sharing. The goal is to build a strong portfolio that speaks to consistency and clarity.

For HTML projects, I produce simple, well-structured pages like this one, prioritizing semantic tags, accessibility, and clean organization. Even without CSS or JavaScript, thoughtful HTML can communicate intent and structure effectively.

Project Themes

  • DSA practice sets with reflective notes and categorized tracking
  • HTML-only pages emphasizing semantic structure and accessibility
  • Content prompts for tutorials and knowledge-sharing under datastorm.ai
  • Portfolio preparation with descriptive project narratives
  • Early-stage AI tool exploration for productivity improvements

Each theme is designed to reinforce fundamentals while moving closer to practical, real-world outputs.

Socials and Contact Details

Name: Kunj Nakrani

Email: kunjnakrani1087@gmail.com

Deep-Dive: Approach, Mindset, and Roadmap

Approach: I believe in clarity first. By structuring learning into understandable components, I avoid feeling overwhelmed and make consistent progress. Each week I set small targets, track outcomes, and reflect briefly on what improved.

Mindset: I consider myself a beginner, and I embrace it. This frees me to ask basic questions, seek feedback, and prioritize fundamentals over shortcuts. It is a long-term strategy that compounds over time.

Roadmap: In the near term, I will continue building HTML artifacts and practicing DSA. In the medium term, I will integrate Data Science and ML workflows. In the long term, I will architect a product that benefits learners and builders, with a focus on transparency and reliability.

Collaboration: I enjoy pairing with people who also value careful thinking and constructive feedback. If you are exploring similar study paths, or if you have a project where I can contribute beginner-friendly tasks, feel free to reach out through the contact form.

Documentation: Writing and documenting ideas help me crystallize learning. Publishing public notes under datastorm.ai lets others reuse templates, share improvements, and cut the time it takes to get started.

Consistency: My current practice rhythm is designed to balance studying, building, and sharing. Even small updates compound into substantial progress over months.

Thank you for visiting my profile page. I hope this detailed introduction gives you a clear sense of who I am, what I am learning, and how we might connect. Whether you are a fellow learner, a mentor, or simply curious, I welcome your message.

Please use the contact form above to reach out. I look forward to hearing from you, exchanging ideas, and potentially collaborating on projects that align with our shared interests in learning and building in public.

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