ai-based_sudoku_solver_using_csp_technique

This project is a Sudoku solver implemented in Java using the Constraint Satisfaction Problem (CSP) approach. It reads a Sudoku puzzle, applies CSP techniques to solve it, and verifies the solution.

amazon_ml_summer_school_loan-prediction

To create a predictive model using XGBoost and voting ensemble techniques, while also extracting insights from the data utilizing pandas, seaborn, and matplotlib.

ash0508

code_clause_datascience_image-caption-generator

Image Caption Generator is a project that aims to generate descriptive captions for input images using advanced predictive techniques

codsoft

geeks_for_geeks

A Chrome Extension that automatically uploads your GeeksForGeeks problem solutions to a GitHub repository of your choice within seconds after a successful submission.

hactober2023

#hactober2023 Hactoberfest-accepted

leetcode

This plugin will automatically push your code to GitHub after you successfully pass all tests for a Leetcode problem.

machine_learning_internship_code_alpha

🚀Absolutely! Let's dive deeper into the collection of Machine Learning projects I completed during my immersive 1-month virtual internship at CodeAlpha.

mental_health_chatbot

This Hybrid MERN-Flask architecture project has successfully demonstrated the development of a sophisticated conversational Chatbot using NLP and Deep Learning techniques. The bot is capable of understanding and responding to a wide array of user inputs limited to MENTAL-HEALTH.

reactdevportfolio

This repository contains the source code for my personal portfolio website built using the MERN stack. The portfolio website is designed to be fully responsive and showcases my projects, skills, and professional experiences. It includes dynamic project showcases, an interactive contact form, and detailed sections for skills and experiences.

tumor-disease-detection-using-feature-selection-

This UROP project focuses on tumor disease detection using feature selection techniques like Mutual Information and Chi-Square Test. We implemented various machine learning algorithms, including Decision Trees, Random Forests, Logistic Regression, Naive Bayes, SVM, and KNN, to analyze their performance and improve detection accuracy.