Currently I contribute in the development of Cookiecutter based template for Infection Monkey related projects.

Previously I have contributed to the [P1] Virtual Civilization Initiative and random Open-Source fun projects.

Github User Link to heading

Some of My Personal Projects Link to heading

Personal projects that I created in my free time (or took a lot of time for me to develop).

Pystocktopus Link to heading

• Managing and analyzing stock data can be a complex and time-consuming task for investors and traders. Keeping track of historical stock data, updating it with new information, and extracting valuable insights from the data are all crucial aspects of making informed investment decisions.
• Introducing pystocktopus, a powerful Python package for Python 3.7+ designed to simplify stock data management, analysis, prediction and also use the news sentiments of stocks volatality.
• It provides a seamless solution for maintaining your stock data in CSV format. Whether you need to update existing data or extract new data from a CSV file, this package streamlines the process, ensuring that your stock data is always up-to-date and readily accessible.
• It offers tools to analyze your stock’s performance and predict how news and events will impact its growth. It leverages advanced algorithms to assess whether news sentiment for a specific stock over a defined period is positive or negative, helping you make informed investment decisions.
• It simplifies the process of extracting the current closing price for a specific stock. With just a few lines of code, you can access up-to-the-minute price information, enabling you to monitor your investments with precision.
• pystocktopus is an easy-to-use and versatile library that empowers users to maintain and analyze their stock data with ease. Whether you are an experienced trader or a novice investor, pystocktopus provides a comprehensive set of tools to streamline your stock-related tasks.

LLM ChatBot Link to heading

• This is a project trained Large Language Model(LLM) using the environment provided by the Python and LLAMA Index
• Llama index help you convert and store your personal data in to vector embedding for training on the chatbot at the later stage. It Also help you convery user asked query into a Vector Embedding with cosine-similarity(k) {here k could any value 1,2,3….}.
• The Chatbot uses OpenAI endpoint to display his last formatted data to the user.This bot can help you answer any question related to me👀 and my website, experience,…
• It might also hallucinate at some points due to data restriction while training but it is 90-95% accurate till now and working on improving🙂.

House Pricing Data Analysis Link to heading

• This is a project performed an EDA on the dataset and tested the model generated after hyper-parameter tunning on different Machine Learning Models to predict its accuracy and efficiency in different scenarios.
• Using Python and Sklearn library for implementing the ML Model.

AI-BASED-2-PLAYER-GAME Link to heading

• This is a project created in Unity using the interface provided by the unity and C# as supporting language for the Scripting purpose.
• Using Unity Machine Learning and Artificial intelligent Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents.

Face-Detection-and-Recogniztion Link to heading

• This is a project created in Python using OpenCV.

Jarvis-AI Link to heading

• This is a project created in Python where it is trying to recongnize your voice and and doing command on your action of voice and work you tell him to do like search on wikipidea , google , youtube , etc.

Monster Chase 2D Game Link to heading

• Platformer Based 2D Game – lets the player choose a character with the objective of remaining safe from enemies spawned from random directions moving towards the player.

FPS Survival Game Link to heading

• Third person survival game: lets the player kill enemies in a jungl arena with the help of 3 gun variants in a race against time.