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This repository contains an exploratory data analysis (EDA) project focused on roller coasters. The project involved organizing, cleaning, and visualizing the data to gain insights into roller coasters' characteristics and performance.
This repository, created for an Operations Research module, contains scripts employing the Branch-and-Bound algorithm for linear optimization. Utilizing SciPy and Xpress libraries, the scripts solve and visually illustrate the optimization process, aiding in the understanding of the algorithm's application in Operations Research.
The main objective of this project is to analyze and identify leaf diseases using image processing and machine learning. The project aims to help farmers and researchers by providing accurate disease detection, which can improve the quality and productivity of agricultural products.
Flask-based financial management software with AI-driven insights, downloadable monthly transaction lists, dashboards, and chat functionality. Frontend powered by HTML Jinja2. Calculates income, expenses, and balance with tables and visualizations