π Computer Vision Enthusiast | Deep Learning Student.
π‘ Constantly pushing boundaries in AI and building custom models from scratch.
π Passionate about creating intelligent systems using CNNs, ResNet, and creative architectures.
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π¨Alarm system- Built from Scratch π¨ Iβm excited to share my first Computer Vision project where I built an Color-Based object detection system from scratch without any pre-trained models β just using OpenCV and Python .
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π¨Driver Drowsiness Detection from Scratch(Github) and in LinkedIn I built a simple driver drowsiness detection system from scratch that uses computer vision to track blink counts and detect prolonged eye closure, triggering an alert!π΄π¨
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π§₯ Fashion MNIST Classifier Built a fully custom CNN model from scratch with Skip Connections and Learning Rate Scheduling in PyTorch. Achieved competitive accuracy!
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π’ MNIST Classifier Achieved 96% test accuracy using a lightweight custom CNN.
- Languages: Python
- Deep Learning Frameworks: PyTorch
- Computer Vision Techniques: Classification,CNNs, ResNet, YOLO, Data Augmentation,Skip Connections,Learning rates.
- Development Tools: GitHub, Git, Jupyter Notebook,Kaggle
πIβm a passionate and dedicated computer vision enthusiast, constantly exploring the endless possibilities of AI and deep learning. Every day, I challenge myself to learn, create, and push the boundaries of innovation. I thrive on solving complex problems and turning ideas into impactful solutions. With a curious mind and a relentless drive for growth, Iβm not just building models β Iβm building a future where technology empowers and transforms lives. If youβre as passionate about innovation as I am, letβs connect and create something remarkable together.