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ai_way

A Cross-Language Information Retrieval (CLIR) system integrating advanced natural language processing techniques and machine learning models.

cursor_animation

This project allows the user to change the generic version of mouse into aesthetic look in the workspace of open window. It uses the functionality of JavaScript and CSS to display various colors at regular time intervals.

exploratory_data_analysis

The project analyze 131 data entries of various UK Universities using python and its libraries such as matplotlib, seaborn for data visualization to find the best University by all standards . It also handles outliers for apt predication for University selection.

gameday

Developed a dynamic React-based game website with interactive parallax effects to enhance user engagement and visual appeal.

iris-full-stack-app

The Full-Stack Iris Classifier Using Random Forest is ML application developed to classify iris flowers into distinct species based on their sepal and petal measurements. This classifier is powered by the Random Forest algorithm for high-accuracy predictions and is complemented by a full-stack architecture, with Flask serving as the backend.

medinavi

mednavy

Developed to streamline patient care by matching to specialized doctors and other services

mnist-classifier

The MNIST Classifier Using Random Forest is a powerful machine learning model designed to recognize handwritten digits from the MNIST dataset with remarkable accuracy and efficiency. This classifier leverages the Random Forest algorithm, a robust and versatile ensemble learning technique, to perform this task.

navbar

navbar-mrs-exercise-1

sudoku_solver

The project is completely written in C++ language, built to solve any given Sudoku by employing recursion and DSA concepts.

todo-list

todolist