Computer Vision
AI
YOLOv8-Based Mobile Phone Detection System
Built a real-time detection system using custom datasets, leveraging YOLOv8 and OpenCV to enhance classroom monitoring accuracy.
Computer Science & Engineering Student
Hi, I'm Shreya B
I approach development with a simple philosophy: most problems don’t disappear; they just wait in the console.
When something breaks, the console already knows why.
Open for
Internships & Freelance
About Me
I’m a Computer Science undergraduate driven by the challenge of transforming complex ideas into robust, real-world systems. My work sits at the intersection of computer vision, data-centric research, and secure camera network analysis, where reliability and precision matter as much as innovation. Whether I’m iterating on models, untangling pipelines, or polishing interfaces, I focus on building solutions that are intuitive, dependable, and purpose-built.
What I Do
I work end-to-end across the stack, turning raw data into deployed, production-ready systems. From model experimentation to application deployment, my focus is on building AI-driven solutions that are robust, efficient, and designed for real-world impact.
How I Work
I approach development with a balance of curiosity and rigor. When something fails, I trace it through data, logs, and the console - experimenting, validating, and iterating until the root cause is clear. I value clean abstractions, reproducible workflows, and building systems designed to scale beyond demos and deadlines.
Goals
To grow into a research-oriented engineer, contribute to meaningful AI-driven systems, and tackle problems where technology measurably enhances how people experience and interact with the world.
Education Journey
Schooling
Notre Dame of Holy Cross School(CBSE), Salem (2016–2022)
I completed my schooling at Notre Dame of Holy Cross School, Salem, a convent institution that played a foundational role in shaping my values. Beyond academics, the environment instilled a strong sense of discipline, sincerity, and responsibility in everything I pursued. The structured approach to learning and emphasis on character helped me develop consistency, focus, and respect for process. Those early lessons continue to influence how I approach challenges today - with commitment, integrity, and intent.
Percentage : 79.8%College
Amrita Vishwa Vidyapeetham, Coimbatore (2023–2027)
My journey in Computer Science & Engineering at Amrita Vishwa Vidyapeetham has been shaped by hands-on learning and constant exploration. College became a space for late-night debugging, experimenting with ideas, and turning theory into working systems. From projects in computer vision and AI to collaborative, team-driven environments, each experience sharpened my problem-solving mindset. Amrita pushed me to think beyond grades and focus on building solutions that actually work. It’s where curiosity evolved into discipline, and learning became a habit rather than a requirement.
Current CGPA : 7.96/10
Skills
Technical
A reflection of the tools, technologies, and problem-solving approaches I’ve developed over time.
C
C++
Python
Java
HTML
CSS
React
Tailwind
Next.js
Computer Vision
PyTorch
OpenCV
TensorFlow
Neural Networks
Data Analysis
Django
FatAPI
Responsive Design
Pandas
Git
GitHub
Linux
Figma
JavaScript
MongoDB (NoSQL)
Flask
MATLAB
Arduino
Flutter
Soft Skills
Leadership
Guided teams across projects and hackathons,and shared ownership.
A great leader is one who makes people an inch taller by his presence. by Narayana Murthy
Communication
Drives understanding, not just discussion.
The most important thing in communication is hearing what isn’t said. by Peter Drucker
Problem Solving
Enjoy breaking complex problems into logical, actionable solutions.
Teamwork
Blend logic with imagination to design solutions that are both functional and elegant.
None of us is as smart as all of us. by Sundar Pichai, CEO, Google
Projects
A snapshot of the work I've done across UI development, computer vision, and data-driven applications.
Deep Learning
AI
Sign Language Recognition using Deep Learning
Built a CNN-based ASL recognition system achieving 93% accuracy with an end-to-end pipeline for real-world AI applications.
Algorithms
Network Optimization
Efficient Drone Delivery Network Optimization
Implemented max-flow and min-cost flow algorithms (Ford–Fulkerson, Edmonds–Karp, Capacity Scaling, SSP) to optimize delivery capacity and cost, with performance analysis on simulated drone networks.
Augmented Reality
Data Structures
Systems Design
Augmented Reality Object Placement System
Built a priority-driven AR backend using AVL Trees and Min-Heaps, achieving O(log n) scalable object management with collision handling.
Deep Learning
Computer Vision
Symbol Classification using Deep Learning
Built a CNN-based symbol classifier in PyTorch with custom preprocessing, generating competition-ready prediction CSVs and achieving strong validation accuracy.
Machine Learning
NLP
Text Classification
NLP-Based Document Classification with Support Vector Machines
Classified documents using TF-IDF + SVM; achieved reliable category separation with confidence scoring
Computer Vision
Space AI
NovaDetect: Lunar Landslide & Boulder Detection
Lunar landslide segmentation (U-Net CNN) with DTM-aware boulder detection, generating geospatial outputs from Chandrayaan imagery.
Official Web Platforms & Contributions
Frontend Developer
GalaxyZ Space Website
Designed and developed a responsive website showcasing space education programs and workshops.
Frontend Developer
UI Engineer
Tensor Club, Amrita Vishwa Vidyapeetham
Official digital platform for a premium tech community
Contact
Interested in working together, or just want to say hi? Drop a message.
Let’s Connect
The simplest way is via email or LinkedIn. I'm open to internships, freelance projects, and collaborations.
- Email: shreyabaala2004@gmail.com
- GitHub: shreya-13-04
- LinkedIn: Shreya Balasubramani
* Messages are delivered instantly. I usually respond within 24 hours.