TIC TAC TOE game with AI
Developed an AI Based web Application of the famous Tic Tac Toe Game.
Used and Implemented the MINIMAX algorithm for the computer to choose the optimal moves.
Technology Stack: HTML,CSS(Tailwind),Bootstrap, JavaScript.
Stock Market Analysis And Prediction Using Python.
Used XGBoost regressor to forecast market performance after computing technical indicators from 10 years of S&P BSE Sensex data.
Demonstrated skills in data analysis, machine learning forecasting, and technical indicator computation using OHLC values to predict trends.
Highlighted expertise in financial analysis and predictive modeling by using data insights for informed investment decisions.
Technology Stack: Python 3.6,Numpy,Pandas,Xgboost,Sklearn,Plotly,Stldecompose
Wine Quality Prediction Using Machine Learning Algorithms
Developed a method to classify wine quality into 'good', 'average', or 'poor' categories
based on characteristics such as pH and alcohol content. Predicted quality ratings with
values below 6 as 'poor', exactly 6 as 'average', and above 6 as 'good',
showcasing skills in data analysis and classification.
Technology tack:Python3, Jupyter Notebook, Random Forest Regressor,Hyperparameter Tuning.
Netflix Clone
The Netflix Clone project replicates the user interface of Netflix,
allowing users to browse and view details of movies and TV shows.
It features a responsive design with an emphasis on visual appeal and user experience.
Technology Stack: HTML, CSS, JavaScript
Amazon Clone
The Amazon Clone project replicates the Amazon website's user interface using HTML and CSS, focusing on navigation bars,
product displays, and footer sections.
It aims to provide a responsive and visually accurate representation of the Amazon website.
Technology tack: HTML,CSS