1000+ ready code templates to kickstart your next AI experiment

Related tags

Miscellaneous data-science machine-learning machine-learning-algorithms artificial-intelligence hacktoberfest artificial-intelligence-algorithms code-templates hacktoberfest2021
Overview

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AI Seed Projects

Start with ready code for your next AI experiment. Choose from 1000+ code templates, across a wide variety of use cases. All examples follow a consistent program structure for standardisation.

Prerequisite

  1. Python
  2. Jupyter Notebook required to view and run
  3. Assumes data is in CSV format

Run

One click run option available on BlobCity A.I. Cloud. Reasonable cloud infrastructure included for free.

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Contribute

We welcome contributors. Want to make a correction, or add a code template? Simply send us a pull request, and we will accept if it is upto the mark. Some of our templates are still WIP. You will know which ones when you open them. We would appreciate your help in completing them.

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Comments
  • Face Recognition

    Face Recognition

    Implement a Face Recognition system in python using machine learning/deep learning technique, which recognizes the face detected from an image using OpenCV. Utilize OpenCV to crop the detected face, which should be input to the AI model to predict the name/label associated with the faces.

    documentation enhancement Hacktoberfest 
    opened by Thilakraj1998 1
  • Face Emotion Recognition in Video Stream

    Face Emotion Recognition in Video Stream

    Detect Facial Emotion using OpenCV and machine learning/Deep learning. Where OpenCV is utilized to get accurate face image from video frames either streamed from Camera or video files. Once Face is detected in video frame it must be inputted to trained AI model to predict facial emotion. Perform appropriate image processing technique required to the train the AI model.

    documentation enhancement Hacktoberfest 
    opened by Thilakraj1998 0
  • Pothole Detection in Video Stream

    Pothole Detection in Video Stream

    Detect pothole in video stream either from camera input or video files. Detect the pothole from video frame per second using OpenCV utilizing image processing techniques like :

    1. Contour detection
    2. edge detection or Canny edge filter algorithm.
    documentation enhancement Hacktoberfest 
    opened by Thilakraj1998 0
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