Group Members:
- Yashvardhan Singh (20BAI10135)
- Siddharth Maratha (20BAI10257)
- Priyaranjan Mishra (20BCE10121)
- Suryakant Patwardhan (20BCE10783)
| Column | Atrribute Name | Definition | Data Type |
|---|---|---|---|
| 1 | A1_Score | Question 1 Answer: Binary (0, 1) | Quantitative |
| 2 | A2_Score | Question 2 Answer: Binary (0, 1) | Quantitative |
| 3 | A3_Score | Question 3 Answer: Binary (0, 1) | Quantitative |
| 4 | A4_Score | Question 4 Answer: Binary (0, 1) | Quantitative |
| 5 | A5_Score | Question 5 Answer: Binary (0, 1) | Quantitative |
| 6 | A6_Score | Question 6 Answer: Binary (0, 1) | Quantitative |
| 7 | A7_Score | Question 7 Answer: Binary (0, 1) | Quantitative |
| 8 | A8_Score | Question 8 Answer: Binary (0, 1) | Quantitative |
| 9 | A9_Score | Question 9 Answer: Binary (0, 1) | Quantitative |
| 10 | A10_Score | Question 10 Answer: Binary (0, 1) | Quantitative |
| 11 | Age | Age in years | Quantitative |
| 12 | Gender | Gender (m: Male, f: Female) | Qualitative |
| 13 | Ethnicity | List of common ethnicities (White-European, Latino, Others, Black, Asian, Middle Eastern, Pasifika, South Asian, Hispanic, Turkish) | Qualitative |
| 14 | Jundice | Whether the case was born with Jundice (Yes, No) | Qualitative |
| 15 | Austim | Whether any immediate family member has a PDD (Yes, No) | Qualitative |
| 16 | Country_of_res | Country of residence (List of countries) | Qualitative |
| 17 | Used_app_before | Whether the user has used the screening app before (Yes, No) | Qualitative |
| 18 | Result | Screening score: The final score obtained based on the scoring algorithm of the screening method used. This was computed in an automated manner | Quantitative |
| 19 | Age_desc | Age description | Qualitative |
| 20 | Relation | Who is completing the test (Self, Parent, Health care professional, Relative, etc) | Qualitative |
| 21 | Class/ASD | yes, no | Qualitative |
Get inside the src folder by running the following command:
cd srcMake sure you have docker installed on your system and run the following command to build the docker image:
docker image build -t aut-classifier:1.0 .Alternatively you can install the required packages on your system from the requirements.txt file.
To run the docker image, run the following command:
docker run -it -p 8501:8501 --name autism-screening aut-classifier:1.0This will run the train.py python file which will train the model and save it upon user input. The Keras model will be saved as a folder in ./classifier/.
Then main.py file will run which will open the streamlit app on port 8501. The app can be accessed by going to http://localhost:8501/ in your browser.
The saved model can be copied from the docker container to the host machine by running the following command:
docker cp <containerId>:/classifier ./classifierIf you had downloaded the required packages on your system manually, you can train the model by running the following command:
python3 train.pyThen, you can run the main.py file directly by running the following command:
python3 main.pyhttps://drive.google.com/file/d/1eyaDznEfEg0ffFC8R2SS6nHikzOfZGOL/view?usp=sharing