


DEVELOPER










I’m Srushti.
I'm a Frontend Developer, Machine Learning Enthusiast, and Open-Source Contributor currently pursuing my B.Tech in Artificial Intelligence & Data Science, with a passion for building meaningful digital experiences.
With hands-on experience in full-stack development and a strong interest in UI/UX design, I enjoy bringing ideas to life through clean code, thoughtful design, and intuitive user experiences. I'm continuously upskilling in AI/ML, exploring emerging technologies, and expanding my understanding of how intelligent systems can solve real-world problems.
Beyond tech, I'm drawn to the creative world of writing, illustrating, editing, and graphic design. I love experimenting, creating, and finding inspiration across different disciplines. For me, technology and creativity go hand in hand—and that's what drives me to keep learning, building, and creating.
✦ Engineered for resilient design & scalable intelligence ✦
Featured Projects
✦Interactive Coverflow · Auto-Rotating Showcase✦

HueMatch
A responsive web application enabling users to upload a photo, sample pixels to extract exact skin tones, and compute the closest foundation shade match using LAB color-space conversion and Euclidean distance.

CycleSync
Empathetic menstrual and mood tracking application combining AI-powered cycle predictions with hormonal phase modeling, proactive nutritional reminders, and mutual partner syncing for seamless communication.

Porsche 911 Showcase
Immersive automotive showcase engineered with Three.js, React Three Fiber, and custom GLSL shaders. Features real-time ray-traced reflections, dynamic paint customizers, and cinematic camera orbits.

GradeDex
ML-powered student at-risk prediction and intervention system built with a tuned XGBoost model, achieving 95.92% accuracy and 95.36% F1-score to identify academic vulnerability early and support timely student help.

CyberBullying Emotion Detection
Natural Language Processing system that analyzes social media text to detect cyberbullying emotions (Anger, Sadness, Fear, Disgust, Joy, Neutral) using pre-trained Hugging Face transformers and PyTorch on real-world tweet datasets.
Honors & Achievements
Skiper 49 · 3D Coverflow Showcase with rotation, depth & verified credentials
