Real-time feedback - Application for optimizing meetings and teaching

I recently completed my bachelor and handed-in by bachelor thesis. This post gives a overview of what the thesis was about. The project was proposed by the company Spinoff.

Spinoff, a consulting firm specializing in organizational, leadership, employee, and team development, has commissioned a project to create a performance evaluation tool for public speaking. This tool allows spectators to provide immediate feedback to speakers after events, aiding Spinoff consultants in offering improved advice and guidance.

The project delivered a prototype system comprising a .NET Core REST API backend and a Next.js (React) frontend, utilizing progressive web application (PWA) technology for a near-native mobile application experience. The system focuses on managing events, collecting feedback, and presenting it concisely to speakers. Key features include a login system with user privileges, user administration, real-time feedback using SignalR, and a feedback dashboard.

A diagram of the flow in the app can be seen below:

Continuous integration and deployment (CI/CD) techniques were employed to simplify system management, and the system was deployed on Azure for testing a production version during development.Spinoff, a consulting firm specializing in organizational, leadership, employee, and team development, has commissioned a project to create a performance evaluation tool for public speaking. This tool allows spectators to provide immediate feedback to speakers after events, aiding Spinoff consultants in offering improved advice and guidance. The project delivered a prototype system comprising a .NET Core REST API backend and a Next.js (React) frontend, utilizing progressive web application (PWA) technology for a near-native mobile application experience. The system focuses on managing events, collecting feedback, and presenting it concisely to speakers. Key features include a login system with user privileges, user administration, real-time feedback using SignalR, and a feedback dashboard. Continuous integration and deployment (CI/CD) techniques were employed to simplify system management, and the system was deployed on Azure for testing a production version during development.

The entire thesis can be found here. The source code of the back-end can be found here and the front-end here.