Implementation of a Reinforcement Learning (RL) model to learn to scratch the less possible surface on the scratch game of the Badulaque of the app "The Simpsons Springfield".
-
Updated
Jun 22, 2025 - Python
Implementation of a Reinforcement Learning (RL) model to learn to scratch the less possible surface on the scratch game of the Badulaque of the app "The Simpsons Springfield".
An interactive Streamlit dashboard offering insights into hypothetical portfolios with features like asset overview, historical performance, sentiment analysis, and predictive forecasting. All data is illustrative
A news website that provides summarised news on trending topics, popular topics and searched topics. It is coded in python using the streamlit, BeautifulSoup, urllib, newspaper and nltk library. The app is further deployed on AWS via an EC2 instance and made available publicly for viewing news in the internet. It uses NLP and Web Scraping.
Django projects
AI-powered personal website automation – This project dynamically generates and updates a personal website using AI, automating content creation, structuring, and deployment.
This lab involves creating a Flask web app hosted on AWS EC2. It features user registration, login functionality, and data storage using SQLite. The app supports file uploads, user form submissions, and authentication. Apache with mod_wsgi is used to deploy the app, and SQL queries manage interactions with the database.
Add a description, image, and links to the web-deployment topic page so that developers can more easily learn about it.
To associate your repository with the web-deployment topic, visit your repo's landing page and select "manage topics."