- Still in Project-Development Phase. Plenty of room for improvement.
- Any Suggestions welcomed.
- All the modules have been implemented, yet there's space for more.
- The model runs in basically two different phases. The FlowCharts has been presented here FLOWCHART.
- The Application hasn't been deployed anywhere due to high server-cost constraints & limited resources.
- The application is still CommandLine Based.
- The Basic Flow of the Modules are described here:
- All the modules are here in this Repository.
- They've been implemented in the above repo ( some from scratch, some open-source).
- The Application generates 2 paragraphs and asks the user to start reading once the timer goes off
- A Temporary Para Generated by the program is displayed below.
- The Audio Data is Converted and sent to Deep Learning Models for analysis
- The Spectrogram Looks Something like this for a 75 sec long audio
- The Deep Learning Models are Loaded and Evaluation begins, Scores are calculated and produced
Install Python 3.7
Don't forget to add Path o Environment Varibales Doubt?
Completely Optional: Install Git
Clone this Repository Tutorial
From the root folder of the repository, open a commandline terminal/powershell and run the following commands:
pip install virtualenv
:- Installs Virtualenv Python Module
virtualenv ANY_NAME
:- Replace ANY_NAME with your choice of environment name
.\ANY_NAME\Scripts\activate
:- Activates the Virtual Environment we just created
pip install -r requirements.txt
:- Installs the Required Liraries , Takes time & Needs Space ("A lot")
Once all the Above is Completed , Lets run our Application.<br> Run the below command in the cmd.
python app.py
And let the application run its course ๐
- The Application is Completely Commandline Based.
- Open-Source Codes have been used
- Room for Improvements & Suggestions :)