High School 2D Game Development Curriculum Design

10X Hub aims to develop an engaging and educational course for high school students foused on 2D game development using the Godot 4 engine. The project involves a team of learners from a post-secondary program who will apply their knowledge of game design and educational methodologies to create a comprehensive curriculum. The goal is to make game development accessible and exciting for high school students, fostering creativity and technical skills. The project will require the team to research effective teaching strategies, design lesson plans, and create practical exercises that align with high school learning objectives. By the end of the project, the team will have developed a structured course that can be easily implemented in a high school setting.

High School Game Development Curriculum

Lux Development is seeking to create an engaging and educational course focused on 2D game development using the Godot 4 engine, specifically tailored for high school students. The project aims to make game development both accessible and exciting, fostering creativity and technical skills among young learners. A team of post-secondary students specializing in game design and educational methodologies will undertake this project. Their task is to research effective teaching strategies, design comprehensive lesson plans, and develop practical exercises that align with high school learning objectives. The ultimate goal is to produce a structured curriculum that can be seamlessly integrated into high school programs, inspiring the next generation of game developers.

Deepseek-Driven Spreadsheet Recommendation System

The project aims to develop a chat bot that utilizes Deepseek technology to provide intelligent recommendations based on spreadsheet data. The primary goal is to enable users to upload spreadsheets and receive actionable insights and recommendations derived from the data. This project will allow learners to apply their knowledge of web development, data analysis, and machine learning. The tasks involved include integrating Deepseek with a web interface, designing a user-friendly interface for data upload, and implementing algorithms to generate recommendations. The project will focus on creating a seamless user experience and ensuring the accuracy of the recommendations provided. By completing this project, learners will gain hands-on experience in applying AI technologies to real-world data challenges.

Automated Web Data Processing and Summarization

The project aims to develop an automated system for web data extraction, cleansing, and summarization using Python. Lux Development seeks to streamline the process of gathering and processing web data to enhance efficiency and accuracy. The project involves creating two distinct automated processes. The first process will focus on web scraping to extract a list of items from specified websites, followed by data cleansing and curation into a structured CSV format. The second process will utilize AI to generate concise summaries of each website's content, subsequently formatting these summaries into a CSV file suitable for import into a WordPress directory. This project provides learners with the opportunity to apply their knowledge of Python programming, data processing, and AI to solve real-world data management challenges.