Name Generator

• Developed a name generation AI utilizing PyTorch and NumPy to construct a Deep Learning LSTM model, ensuring accurate and culturally relevant name suggestions.
• Integrated BeautifulSoup, AsyncIO, and Request to efficiently web-scrap diverse datasets containing names from various ethnicities and cultures, enhancing the training process.
• Initiated the project with a GAN-based model approach, swiftly pivoting to the LSTM model to achieve desired outcomes and improve name generation accuracy.
• Engineered a user-friendly web interface using Flask Python framework, facilitating seamless interaction and accessibility for users.
• Implemented cloud deployment on an AWS EC2 instance of Ubuntu, leveraging scalability and accessibility benefits for the hosted website.

Frameworks and Libraries

• PyTorch
• TQDM
• NumPy
• SciKitLearn
• BeautifulSoup
• AsynclO
• Requests

Demo Video

Run the web app

cd website
pip install -r requirements.txt
python app.py

Run web scraper

cd webScrapper-Py/MDb_scraper
python3 start.py

• You will get .csv files in the webScrapper-Py folder with name actorsData.csv.

Run tests

pytest -vv

Know more about the project here