areeba0

Bank-management-system-in-C-for-beginners

Bitcoin-Price-Forecasting-with-Linear-Regression-Polynomial-Regression-and-ARIMA

Forecast Bitcoin daily closing prices using a Python repository featuring regression and time series models. From Linear and Polynomial Regression to ARIMA, gain insights into cryptocurrency trends. Visualize historical data, evaluate models with key metrics, and analyze residuals for validation

Book-Search---Recommendation-System-with-HTML-CSS--JS-Wikipedia-API-Flask----Collaborative-Filtering

Wanderlust Reads is a Flask-driven book application that uses Wikipedia API for book searching and techniques like Collaborative Filtering using the KNN model for recommendations. It uses HTML, CSS, and Vanilla JavaScript for the front end. It also has an add-to-cart and ordering books functionality.

cpp_matrix_manipulation_library

The Matrix Library in C++ is a versatile, user-friendly class for efficient matrix manipulation. It supports dynamic creation and specialized constructors for 2x2, 3x3, and 4x4 matrices. The library includes essential operations like sum, average, row/column totals, and transposition. It ensures stable, dynamic memory management for various matrix

English-to-French-Translation-using-NLTK-and-Hugging-Face-Transformers-MarianMTModel

This repository provides a complete workflow for text processing using Hugging Face Transformers and NLTK. It includes modules for sentence normalization, spelling correction, word embedding generation, positional encoding computation, and English-to-French translation

graphe_layout_using_d3.js

GRAPHI is a web-based tool for visualizing graphs using custom D3.js layouts. It allows users to upload adjacency matrices, analyze graph types, and select from layout options like Grid, Chord, Sugiyama, and Tree structures.

HR-Analytics-Dashboard-using-Python-and-Tableau

This project features an HR analytics dashboard using a synthetic dataset generated with Faker and pandas. The dashboard offers insights into employee demographics, income and hiring trends, and gender distribution. Python was used for data generation and initial processing, with Tableau creating the interactive visualizations.

Image-Classification-using-Gaussian-Naive-Bayes-SVM-and-KNN

the code uses KNN, Gaussian Naive Bayes & SVM to classify images. It preprocesses, normalizes data, applies PCA , computes accuracy, precision etc. It evaluates k-NN using Euclidean distance & cosine similarity, visualizing results with line plots, 3D scatter plots, & confusion matrices to demonstrate classifier performance.

Image-Segmentation-with-Lazy-Snapping-and-K-Means-Clustering

This Jupyter notebook demonstrates image segmentation using Lazy Snapping and K-Means Clustering. It showcases how these algorithms can partition an image into segments based on pixel intensity and user-defined masks.

text_to_speak_converter

This project provides a simple web-based text-to-speech converter using JavaScript's 'SpeechSynthesis' API. It allows users to enter text , select a voice from available options, and listen to the text being spoken aloud.

areeba0/English-to-French-Translation-using-NLTK-and-Hugging-Face-Transformers-MarianMTModel

This repository provides a complete workflow for text processing using Hugging Face Transformers and NLTK. It includes modules for sentence normalization, spelling correction, word embedding generation, positional encoding computation, and English-to-French translation

areeba0/text_to_speak_converter

This project provides a simple web-based text-to-speech converter using JavaScript's 'SpeechSynthesis' API. It allows users to enter text , select a voice from available options, and listen to the text being spoken aloud.

areeba0/Bank-management-system-in-C-for-beginners

areeba0/Bitcoin-Price-Forecasting-with-Linear-Regression-Polynomial-Regression-and-ARIMA

Forecast Bitcoin daily closing prices using a Python repository featuring regression and time series models. From Linear and Polynomial Regression to ARIMA, gain insights into cryptocurrency trends. Visualize historical data, evaluate models with key metrics, and analyze residuals for validation

areeba0/Book-Search---Recommendation-System-with-HTML-CSS--JS-Wikipedia-API-Flask----Collaborative-Filtering

Wanderlust Reads is a Flask-driven book application that uses Wikipedia API for book searching and techniques like Collaborative Filtering using the KNN model for recommendations. It uses HTML, CSS, and Vanilla JavaScript for the front end. It also has an add-to-cart and ordering books functionality.

areeba0/cpp_matrix_manipulation_library

The Matrix Library in C++ is a versatile, user-friendly class for efficient matrix manipulation. It supports dynamic creation and specialized constructors for 2x2, 3x3, and 4x4 matrices. The library includes essential operations like sum, average, row/column totals, and transposition. It ensures stable, dynamic memory management for various matrix

areeba0/Cryptarithm-Puzzle-Solver-Using-DFS-and-A-star-Algorithm

This code provides a solution for cryptarithmetic puzzles using two different approaches: DFS and A Star Search Algorithm. Cryptarithm puzzles are mathematical puzzles where the digits are replaced by letters of the alphabet, and each letter represents a unique digit.

areeba0/Diabetes-Prediction-with-KNN-Using-Scikit-Learn

This repository implements a K-Nearest Neighbors (KNN) classifier using Scikit-Learn to predict the onset of diabetes. The model utilizes the Pima Indians Diabetes Database to predict the likelihood of diabetes. The code includes data preprocessing, model training, evaluation, and visualization of results.

areeba0/Emergency-Travel-Plan-using-Adjacency-Lists-and-BFS-DFS-Algorithms

This C++ project implements an Emergency Travel Planning System using graph theory's adjacency lists, employing BFS and DFS for efficient city navigation. It optimizes routes based on user preferences for minimizing travel time or cost, with dynamic memory management for city and route data.

areeba0/Fraction-Class-Implementation-with-Overloaded-Operators-in-CPP

The Fraction class in C++ uses fractions with robust arithmetic operations and comparison capabilities. It includes constructors for flexible initialization, overloads operators for intuitive usage (including arithmetic, comparison, and unary operations), and provides utility functions like normalization and error handling for zero denominators.

areeba0/Frontend-development-practice

a stylish landing page with a glass morphism design and pink-themed gradient background. The layout includes a navigation bar, a text content area, and a call-to-action button to play a video. The page is responsive, adapting its layout for different screen sizes.

areeba0/graphe_layout_using_d3.js

GRAPHI is a web-based tool for visualizing graphs using custom D3.js layouts. It allows users to upload adjacency matrices, analyze graph types, and select from layout options like Grid, Chord, Sugiyama, and Tree structures.

areeba0/Huffman-Coding-Algorithm-for-Text-Compression-and-Decompression-in-CPP

This code provides an implementation of Huffman Coding using C++. It enables efficient text compression and decompression through frequency-based encoding, constructing a Huffman Tree, assigning variable-length codes, and translating text to and from its binary representation.

areeba0/Image-Classification-using-Gaussian-Naive-Bayes-SVM-and-KNN

the code uses KNN, Gaussian Naive Bayes & SVM to classify images. It preprocesses, normalizes data, applies PCA , computes accuracy, precision etc. It evaluates k-NN using Euclidean distance & cosine similarity, visualizing results with line plots, 3D scatter plots, & confusion matrices to demonstrate classifier performance.

areeba0/Image-Segmentation-with-Lazy-Snapping-and-K-Means-Clustering

This Jupyter notebook demonstrates image segmentation using Lazy Snapping and K-Means Clustering. It showcases how these algorithms can partition an image into segments based on pixel intensity and user-defined masks.

areeba0/KNN_in_C-

K-Nearest Neighbors (KNN) is a supervised learning algorithm commonly used for classification and regression tasks. In this implementation, the algorithm is adapted to cluster a set of data points into predefined groups by iteratively refining group averages until convergence.

areeba0/Linked-List-Implementation-for-Social-Feeds-Using-CPP

This repository contains a C++ implementation of a dynamic social media feed manager using a linked list structure. It allows users to add, search, edit, delete, and display posts in both chronological and reverse chronological order.

areeba0/Month-Explorer-Display-information-of-Events-for-Each-Month-using-HTML-CSS-and-JS

the Month Data Viewer is an interactive web application that allows users to explore detailed monthly climate and event data. By selecting single or multiple months, users can view temperature, precipitation, humidity, and key events through a visually appealing and responsive interface.

areeba0/Polynomial-Class-in-Cpp-with-Operator-Overloading-for-Arithmetic-Operations

This C++ code is an implementation of a Polynomial class that supports arithmetic operations (+ and -) and comparison (==) using operator overloading. The Polynomial class allows users to create polynomials of varying degrees, and input coefficients, perform basic arithmetic operations, and compare polynomials for equality.

areeba0/Social-Media-Profile-Management-System-Using-CPP

this repository contains a C++ implementation of a comprehensive system for managing social media profiles. It includes functionalities for creating profiles, updating information such as username, password, email, and profile picture, validating data inputs, and calculating user activity statistics.

areeba0/Tableau

data analysis using tableau

areeba0/Vehicle-Rental-Management-Using-CPP-Object-Oriented-Programming

this C++ code implements a Rental Reservation System using object-oriented programming principles. It manages reservations for vehicles, storing details such as reservation ID, customer name, car make and model, pickup, and return dates, and calculates the rental duration, rate, and total cost dynamically.

areeba0/Dictionary-Web-Application-Html-CSS-JS-with-API

The Dictionary Web Application is a tool for quickly finding word meanings, phonetics, and pronunciation audio. Using HTML, CSS, and JavaScript, it leverages the Dictionary API for real-time definitions and examples. Its clean, responsive design ensures a seamless experience on any device.

areeba0/HR-Analytics-Dashboard-using-Python-and-Tableau

This project features an HR analytics dashboard using a synthetic dataset generated with Faker and pandas. The dashboard offers insights into employee demographics, income and hiring trends, and gender distribution. Python was used for data generation and initial processing, with Tableau creating the interactive visualizations.