Portfolio

Portfolio

Welcome to my AI/ML portfolio! Here’s a selection of the projects I’ve worked on across deep learning, computer vision, and data science.


Automatic Traffic Rules Violation Detection

Tech: Python, YOLO, OpenCV, Tesseract OCR
Description: A real-time AI system that automatically detects vehicles violating red lights and extracts their registration numbers from license plates using computer vision.

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Traffic Rule Violation


Tax Form OCR

Tech: Keras, Tensorflow, OpenCV, PyTesseract
Description: Demonstrates automated extraction of text from scanned tax forms. The solution aligns a scanned form image with a clean template, performs OCR using Tesseract, and post-processes the text to clean and structure the output.

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Form 16 OCR


Algo Trading Framework

Tech: Python, MongoDB, Plotly
Description: Developed a modular backtesting engine for positional trading. Supports multiple strategies, performance tracking (Sortino, PnL), and daily portfolio views.
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Text and Object Detection with Keras and OpenCV

Tech: TensorFlow, Keras, OpenCV, Pytessract Description: Implemented a text detection model based on the EAST architecture. Combined bounding box regression with classification for text spotting in natural scenes.
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