GitHub - ctrl-key/Human-Activity-Recognition-System-Using-Deep-learning: This project uses deep learning neural network algorithms to identify activity performed in a video clip.

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This project uses deep learning neural network algorithms to identify activity performed in a video clip.

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Source Code		Source Code
HUMAN ACTIVITY RECOGNITION USING DEEP LEARNING.pdf		HUMAN ACTIVITY RECOGNITION USING DEEP LEARNING.pdf
HUMAN ACTIVITY RECOGNTION USING DEEP LEARNING JOURNAL.pdf		HUMAN ACTIVITY RECOGNTION USING DEEP LEARNING JOURNAL.pdf
Human Acitvity Recognition Using Deep Learning.docx		Human Acitvity Recognition Using Deep Learning.docx
Human Acitvity Recognition.pptx		Human Acitvity Recognition.pptx
readme.txt		readme.txt

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STEPS TO EXECUTE THE PROJECT.

step 1: Go to "https://colab.research.google.com/".

step 2: go to files and click "new notebook".

step 3: locate the "Human_Action_Recogntion_using_CNN_+_LSTM_ipynb_final.ipynb" file from the source code.

step 4: Run each code snipet sequentialy.

step 5: in the download youtube video section add your own youtube video line.
Note: Only add suitable video links with less duration.

Step 6: run the final code snippet "Perform Action Recognition on the Test Video" which will give you an output video
        predicting the action performed in the video.
        
project walkthrough video link - https://drive.google.com/file/d/1PCr4eWF4CbNPW1Sg5h5CnyDmP-Q7Bwfv/view?usp=sharing