Veda2.0 is a data handling system for The Integrated MARKAL-EFOM System (TIMES) - a bottom-up optimization model for energy-environment systems
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Updated
May 1, 2025 - Roff
Veda2.0 is a data handling system for The Integrated MARKAL-EFOM System (TIMES) - a bottom-up optimization model for energy-environment systems
This is the project about 2020-21 pandemic i.e. Covid-19 and its Death Rate Analysis. In this project the covered things are the number of death in the Covid-19 in India, number of positive and negative in the total test. This project is just for the knowledge to imagine the situation we all have gone through.
It is a web app that can be used to create or leave a Habbit in 21 Days. It track the progress of the user and rewards with the prize. It give 21 Small challenges that is followed by the user to make or leave the particular habbit.
APIs based weather application project that display Google map and the weather location according to the user's requirements
Swagger API 2.1 json of Postman fuzzing Variable setup tool
Different Data Handeling Techniques
Historical data analysis about avocado sales and prices in grocery stores in the United States
This report presents a detailed analysis of employee data stored in an SQLite database. This analysis was conducted by Jabulani Ndlovu, the analysis focuses on understanding employee distribution, salary structures, tenure, hiring trends, and demographic patterns. The compressed folder has a data schema, queries for testing and documentation.
Virtual Bookshelf: Streamline Your Online Bookstore Management
This project is a comprehensive dashboard for analyzing Netflix movies and shows. Using a combination of Power BI, Python, and Excel, this dashboard provides insights into various aspects of Netflix's content library.
Explore this Spring Boot project illustrating an intuitive grade submission system. Crafted during a recent course, it showcases a seamless integration of Thymeleaf frontend & Spring backend, demonstrating a solid foundation in modern web application development. Ideal to grasp the Spring Boot fundamentals effectively.
The task involves simulating a shift-wise production schedule for multiple components that are manufactured on different machines
Two of my school CPP projects with file system and data handling.
This project scrapes product details such as titles, prices, and links from locally stored Amazon product HTML files using Python's BeautifulSoup library. The scraped data is then exported into a CSV file for easy access and analysis.
Explore this Spring Boot project illustrating an intuitive grade submission system. Crafted during a recent course, it showcases a seamless integration of Thymeleaf frontend & Spring backend, demonstrating a solid foundation in modern web application development. Ideal to grasp the Spring Boot fundamentals effectively.
Cleaning and analyzing Laptop prices and performing prediction with a simple xgboost model
UiPath REFramework bot that automates the RPA Challenge form-filling exercise
Task 3: Iris flower classification using machine learning
Predicts the rate of death in hospitals .
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