Sofvie Inc. Flask/Python SQL Website Development Project

The main goal for the project is to develop a website using Python and Flask with SQL for Sofvie Inc. The website will serve as a platform to enable the workforce in their operational excellence journey. The project will involve the following tasks for the back end developer: - Collaborating with the team to understand the company's mission and goals. - Building modules for the website using Python and Flask. - Integrating SQL for database management. - Ensuring the website is user-friendly and aligns with the company's vision for operational excellence.

Sofvie UX UI for Website and Web App

The main goal for the Sofvie UX/UI for Website and Web App project is to enhance the user experience and interface of the website and web application. A team of students will work together over a seven-week period to understand and solve a UX/UI design problem faced by the company. The students will use their design thinking, research, and teamwork skills to identify areas for improvement and suggest solutions that will result in a more user-centered design. The expected outcome is an improved and more user-friendly website and web app that better serves the needs of its users.

Health Dashboard in Python/Flask

The project scope entails the development of a Python/Flask application for a health-related purpose, which will include the implementation of various charts. Learners participating in this project will have the opportunity to engage in a real-world application development scenario, focusing on data analysis and visualization within the context of health data. The dataset analysis will aim to provide insightful information that can significantly impact business outcomes and drive strategic decision-making. Throughout the project, learners will gain practical experience in data handling, analysis, and visualization using Python and Flask. They will be tasked with extracting valuable insights from the datasets, identifying trends, patterns, and correlations that could potentially contribute to improving processes and enhancing overall understanding within the health domain. Furthermore, learners will have the opportunity to contribute to the development of the app, implementing charts and visual representations to effectively communicate the findings derived from the dataset analysis. Participation in this project will provide learners with a comprehensive understanding of data analysis methodologies, emphasizing the significance of accurate interpretation and effective communication of findings. Additionally, learners will acquire valuable experience in utilizing Python and Flask for application development in the health sector, which can serve as a solid foundation for future career prospects in the fields of data science, software development, and health technology. The exposure to practical application development within the context of a health-related project will enable learners to refine their skills and foster a deeper understanding of the intersection between data analysis, technology, and healthcare, thereby preparing them to make meaningful contributions in the evolving landscape of the health industry.

Data Science Internship with Sofvie

The main goal of this data science internship with Sofvie is to analyze and explore occupational health and safety data in order to gain insights that will help improve workplace safety and reduce the likelihood of accidents or injuries. The data science interns will be expected to develop data models, perform data cleaning and analysis, and create data visualizations that will help identify patterns and trends in the data. The ultimate outcome is to use these insights to inform data-driven decisions that can enhance workplace safety and protect employee health.