Hi! I'm Ritika, a dedicated Computer Science student with a passion for creating clean, meaningful, and functional digital experiences. My approach to development is rooted in simplicity, clarity, and thoughtful design. This portfolio reflects the small steps, challenges, and growth that shape my journey in tech.
Quietly Creating, Constantly Growing
Each project reflects a step in my journey as a developer.
Learning to build. Building to learn. Growing with every project.
As a Computer Science student who learns best by doing. Every project, no matter how small, teaches me something new — about code, design, or myself. I'm still exploring full-stack development and machine learning, one concept at a time, and this portfolio is where I share that ongoing journey.
Technologies I Use and Explore
I'm currently building my foundation in full-stack web development and exploring machine learning. I've worked with C, C++, Python, HTML, CSS, and JavaScript, and I'm learning tools like Git and TensorFlow through hands-on projects.
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Languages I've Learned
C, C++, Python, JavaScript, Java
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Tools and Frameworks I'm Exploring
HTML, CSS, Git, TensorFlow
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Design & UI Interest
Figma, Responsive Web Design, Wireframing, Basic Prototyping
Problem Solving
Sharpening Logic on LeetCode
I practice algorithmic thinking and data structures on LeetCode — tackling problems one at a time to strengthen my problem-solving foundation.
Shaping Ideas Into Experiences: My Creative Process
Every project I work on begins with a simple idea and the intent to make it meaningful. My process focuses on clarity, quiet creativity, and mindful execution — shaping not just interfaces, but experiences. I move from thought to design to build with care, always aiming to keep things clear.
Ideation: Thoughts Take Shape
Every project begins with an idea.
Development: From Ideas to Interface
I bring structure to the idea, building with clarity and care.
Deployment: Ready to Be Used
The project takes its final shape and is gently shared.
Featured Projects
A collection of my work
Web Development
Frontend Design
User Experience
Text-Analyzer is a sleek, real-time web app that tracks word, letter, vowel, and consonant counts as you type. It's responsive, uses localStorage, and requires no setup to run.
A simple linear regression model that predicts salary based on years of experience using a Kaggle dataset. Built with Python, trained in TensorFlow, and visualized with Matplotlib.
