This repository contains five projects exploring fundamental concepts in image processing and computer vision. Each project focuses on a specific topic, with Jupyter Notebook files for code implementation and PDF reports summarizing the project goals, methods, and results.

these are my projects that i submitted for AIML course with great lakes & some good notebooks with great explaination of the topics

Simple Emotion Detection using Machine Learning

Automated Tabular Data Extraction and Prediction is a Python project that combines image processing and machine learning for extracting and predicting tabular data from images with over 80% accuracy. Use this versatile solution by exploring the Jupyter Notebook, and seamlessly integrate it into your projects.

This repository hosts a hobby project centered around biomedical image analysis, created while learning Python and utilizing Jupyter Notebooks. The project aims to explore the world of medical imaging, understand image processing techniques, and extract valuable insights from biomedical images.

Collection of notebooks for image segmentation tasks.

This repository contains a Jupyter Notebook that focuses on the identification and tracking of tropical cyclones using rainfall and sea level pressure data.

Jupyter notebook showing how to build an image classifier with Python and Tensorflow

Euphoric Fiddler is a bunch of random experiments and scripts in data preprocessing and image filtering. It includes some notebooks on recommendations based on category and collaborative filtering. None of the code is optimised for production and is largely used as a reference to quick scripts and as a playground.

A Desktop GUI that recognizes users that have registered their faces on the system.

Detecting vehicles on road using hog and svm [simplest approach].