My Projects
Active-BrainNet : An Efficient Active Learning Paradigm For Brain Tumor Classification
A novel Human-in-the-Loop active learning framework for brain tumor classification that requires minimal labeled data while incorporating human expertise. The method introduces three key innovations: an Active Uncertainty Scoring strategy combining informativeness and representativeness for optimal sample selection, an OpAct Thresholding mechanism to determine ideal labeling quantities, and an Active Self Breaking Loop for cycle optimization.
- Python
- OpenCV
- AWS SageMaker
Real-Time Animal Intrusion Detection
A real-time wildlife surveillance system built using YOLOv5 and deployed on the NVIDIA Jetson Nano. Trained on a custom dataset of 15+ animal classes—including tigers, lions, giraffes, and monkeys—the model achieved 90% accuracy in detecting and classifying animal activity. Ideal for preventing human-wildlife conflicts through automated monitoring.
- Python
- YOLOv5
- OpenCV
- NVIDIA Jetson Nano
Editing using MoviePy
This project demonstrates automated video editing capabilities using Python's MoviePy module, a powerful library designed to simplify complex video editing tasks. The application can programmatically cut and rearrange video clips, add sound and visual effects, and perform audio editing operations, making it ideal for batch processing multiple video files efficiently.
- Python
- YOLOv5
- OpenCV
- NVIDIA Jetson Nano
Instagram Clone Mockup
Created an Instagram UI clone during a 7-day free bootcamp by DevTown. Gained foundational skills in HTML and CSS to build a fully functional, live project on CodeSandbox.
- HTML
- CSS
- CodeSandbox
Notificator
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- React
- Next.js
- Node
- MongoDB
Clients
About Me
Aspiring AI Research Intern with a deep academic and practical foundation in machine learning, deep neural networks, and image based intelligence. Demonstrated innovation through research, projects, and system-level implementations.
My Resume
