Project under Consulting and Analytics Club, IITG

1. Technologies Used

1. Tweepy API
2. NLTK
3. BERT Model
4. Tensorflow
5. Seaborn
6. Streamlit

2. Project Description

2.1 Data Extraction and Preprocessing

2.2 DL Model

2.3 Visualisation and Deployment

3. Files

• Cleaning Tweets.py - Script to clean scraped tweets
• Extracting Targeted Tweets.py - Script to scrape a user's Twitter information
• Streamlit Deployment.py - Script to deploy the project
• Streamlit Deployment.ipynb - Jupyter Notebook to deploy the project
• Extracted Tweets - Training Data
• Training Models:
  • Anxiety Model.py
  • Lonely Model.py
  • Stress Model.py

4. Usage

To use UTrack, go to this link.
Use the following video as a reference:

5. License

MIT