Yogita I J
Frontend Developer • CSE AIML Student
Learning AI • Building modern UI • Tech enthusiast
📍 India
🌐 English • Tamil
About Me
I’m Yogita I J, a dedicated Frontend Developer and CSE AI & ML student who is passionate about building modern, high-performance, and aesthetically rich digital experiences.
My journey in tech is fueled by curiosity — the curiosity to understand how systems work, how interfaces influence user experience, and how intelligence can be embedded into everyday applications.
I specialize in creating responsive and beautifully structured web interfaces using Next.js, React, and Tailwind CSS. I love working on components, layouts, and animations that make websites feel interactive, elegant, and user-centric. With an eye for detail and a strong interest in UI engineering, I enjoy transforming ideas into polished designs.
In the AI & ML domain, I enjoy exploring neural networks, prediction models, and AI-powered applications — blending frontend creativity with intelligent systems.
I believe in continuous learning, consistency, and building things that matter. My goal is to contribute to impactful projects and collaborate with passionate developers.
When I’m not coding, you’ll likely find me exploring new design ideas, learning new technologies, or improving my skills to become the best version of myself in tech.
Skills
Tech Stack
Projects
AI-Powered-Crop-Recommendation
An intelligent machine-learning-based web application that analyzes environmental and soil data to suggest the most suitable crops to grow. The system considers factors such as soil nutrients, rainfall, temperature, and other conditions to make data-driven crop recommendations, helping farmers make informed decisions and optimize agricultural productivity.
View on GitHub →
Leaf Stress Detection
A machine-learning-based system that analyzes images of plant leaves to detect signs of stress caused by disease, nutrient deficiency, or environmental conditions. By using trained models to identify patterns in leaf imagery, the tool helps farmers monitor crop health early and take proactive measures to support sustainable and productive farming practices.
View on GitHub →Education
Education
SRM Institute of Science and Technology
B.Tech Computer Science & Engineering
Specialization: Artificial Intelligence & Machine Learning
2024 – 2028
CGPA: 8.9
Vikaasa World School
XII: 65% | X: 62%
Contact Me
yogita.ij.027@gmail.com› INITIALIZING YOGITA PORTFOLIO SYSTEM...
› FRONTEND_CORE.....................OK
› UI_ENGINE..........................OK
› ML_MODULE..........................OK
› SECURITY_LAYER.....................OK