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  • - [ ] Deploy the integrated system to a cloud platform such as AWS or Google Cloud - [ ] Test the system with larger datasets and optimize for scalability - [ ] Monitor the performance and make adjustments as necessary

    No due date
    49/51 issues closed
  • - [ ] Integrate the metadata from all three modules - [ ] Visualize the results in a dashboard or interactive interface - [ ] Evaluate the overall performance of the integrated system and make improvements as necessary

    No due date
    1/5 issues closed
  • - [ ] Implement and test the speech recognition module using a pre-trained model such as Deep Speech - [ ] Transcribe the audio in each clip and save the text - [ ] Evaluate the performance of the speech recognition module

    No due date
    3/6 issues closed
  • - [X] Set up the environment with the necessary libraries - [X] Build a transcription model using automatic speech recognition tools like Google Cloud Speech-to-Text or Microsoft Azure Speech Services - [X] Test the model on sample videos and measure performance - [ ] Create unit tests for the transcription model - [ ] Create documentation for the transcription model

    No due date
  • - [ ] Set up environment with necessary libraries - [ ] Build an action detection model using OpenCV and deep learning frameworks like TensorFlow or PyTorch - [ ] Test the model on sample videos and measure performance - [ ] Create unit tests for the action detection model - [ ] Create documentation for the action detection model

    No due date
    0/2 issues closed
  • - [X] Collect the video data for processing - [ ] Organize the video data for processing - [ ] Clean and pre-process the data as necessary - [ ] Split the videos into smaller clips for processing To get started Please visit: https://trykino.notion.site/Kino-AI-Challenge-Metadata-Engine-Hackathon-bbf5b2ec6c904a86a4ff3ecddd57e320#45bbc7bf17e144b7bd08569c24c4806b

    No due date
    1/2 issues closed