TEK Systems Hiring Final Round, 48 hour based Hackathon.
If you have a little information about a movie and wants to know more about it with that little hint/thing, This problem statement will help you to find the complete details and information about the movie using that hint which you'll provide as an input.
* Text processing
* Image processing
* Data Pre-processing
* Data Visualization
* Prediction with Machine Learning
Here, OpenCV build and source files are not included in the Repo due to big size.
So, we have included those files in G-Drive.
Download those files/folder and place it in workspace along with README and movie_data_analysis.py.
Install Git on your local Machine and Fork the Repo. Follow the guidelines by Git. Add and Commit changes and send pull requests.
Please read the contribution guidelines before starting work on a pull request.
This are the following libraries used:
**Input Libraries**
* [Pytesseract](https://pypi.org/project/pytesseract/)
* [Tensorflow](https://tensorflow.org)
* [OpenCV](https://opencv.org)
**Data Pre-processing**
* [Numpy](https://numpy.org/)
* [Pandas](https://pandas.pydata.org/)
**Data Visualization**
* [Matplotlib](https://matplotlib.org/)
* [Seaborn](https://seaborn.pydata.org/)
**ML Libraries**
* [Scikit-Learn](https://scikit-learn.org/)
1. G Ravi Kanth - Text and Image Processing
2. S Naga Sai Sasank Sarma - Text and Image Processing
3. B Rohit Sai - Data Processing and Visualization
4. Prem Narayan Nagar - Data Processing and Visualization
* [GitHub Forums](https://github.community/)
* [Homepage](https://opencv.org)
* [Docs](https://docs.opencv.org/master/)
* [Q&A forum](http://answers.opencv.org)
* [Issue tracking](https://github.com/opencv/opencv/issues)
* [Tensorflow Docs](https://www.tensorflow.org/api_docs)
* <https://github.com/llSourcell/Learn-Natural-Language-Processing-Curriculum/blob/master/README.md>
* Udacity Discussion Forums and Few Slack Workspaces.