https://github.com/usamafayaz/python-workshop

This repository contains exercises developed during a one-month training workshop on machine learning, image processing, and natural language processing. The workshop, covered various topics including cv2 for image processing, Flask for web development, and deep learning techniques using Keras with datasets such as MNIST, Reuters, and IMDB.
https://github.com/usamafayaz/python-workshop

artificial-intelligence flask image-processing keras machine-learning matplotlib tensorflow video-processing

Last synced: 8 days ago
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This repository contains exercises developed during a one-month training workshop on machine learning, image processing, and natural language processing. The workshop, covered various topics including cv2 for image processing, Flask for web development, and deep learning techniques using Keras with datasets such as MNIST, Reuters, and IMDB.

• Host: GitHub
• URL: https://github.com/usamafayaz/python-workshop
• Owner: usamafayaz
• Created: 2024-09-24T07:06:56.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-10-30T12:59:30.000Z (9 days ago)
• Last Synced: 2024-10-30T13:42:58.920Z (9 days ago)
• Topics: artificial-intelligence, flask, image-processing, keras, machine-learning, matplotlib, tensorflow, video-processing
• Language: Python
• Homepage:
• Size: 9.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Machine Learning and Image Processing Training Project

## Overview

This project was developed during a one-month training workshop focused on machine learning, image processing, and natural language processing. The workshop, led by a professional PhD teacher, covered various topics including cv2 for image processing, Flask for web development, and deep learning techniques using Keras with datasets such as MNIST, Reuters, and IMDB. The project includes applications of CNN and LSTM, with a basic introduction to NLP.

## Features

### Image Processing

- **cv2**: Utilized for various image processing tasks such as blurring and Gaussian filtering.

- **Video Frames Extraction**: Extracted frames from videos for further analysis and processing.

### Machine Learning

- **Deep Learning**: Implemented CNN and LSTM models.

- **Datasets**: Worked with MNIST, Reuters, and IMDB datasets from Keras.

- **Visualization**: Used matplotlib for data visualization and plotting.

### Web Development

- **Flask**: Developed web applications to demonstrate machine learning models.

## Technology Stack

- **Programming Language**: Python

- **Libraries and Frameworks**: cv2, Flask, matplotlib, Keras

- **Deep Learning Models**: CNN, LSTM

this is not a project, this is just training of all these thing prior to our final  year project, Industrial Watch, that is AI project.

for Industrial Watch Visit   ```

https://github.com/usamafayaz/industrial-watch-backend.git

    ```

## Contact

For any inquiries, please contact [[email protected]].