IMI Showtime - HTW Berlin

CapSearch, an AI-powered platform, assists employees with project assignments. By analyzing profiles, skills, and goals, it provides personalized job recommendations, streamlines project assignments, and enhances efficiency.

Abstract

In large-scale companies with numerous employees, identifying the ideal project that fosters professional growth and aligns perfectly with individual expectations has consistently posed a challenge. Even after discovering a suitable project, the conventional back-and-forth email exchanges for sharing general information can prove time consuming and labor intensive for both employees and managers.

Our Goal

CapSearch offers an innovative solution to this challenge. By digitizing the process, Capsearch streamlines how employees are paired with projects. Instead of relying on manual, inefficient methods, Capsearch employs a robust Embedding-based Recommender System that suggests the most suitable job opportunities for each employee. This algorithm considers factors such as the employee’s skills and project requirements, ensuring an ideal match that supports both career development and company’s needs.

Main Idea

CapSearch empowers employees to swiftly and effortlessly discover jobs that align their interests and skills. This not only enhances job satisfaction but also boosts productivity and engagement. For project managers, Capsearch offers a comprehensive overview of available talent, enabling more strategic project sourcing and improved resource management.

By leveraging Capsearch, companies can achieve a higher ratio of successful project assignments, fostering a more dynamic and motivated workforce. This digital transformation streamlines the project sourcing process, saving time and energy, while also enabling employees to advance in their careers and contribute to the company’s overall success.

Process

Focusing on a quality product in the end, agile principles were always a part of the development process. After the requirements and scope of the project had been defined, the tasks were divided within the development team in such a way that the personal skill set of each individual could be brought out and used, but also offered opportunities to learn something new together and support each other. the results were then presented in weekly sprints where concerns could be clarified and new ideas could be given and received in order to produce a satisfactory product.

indepth explanation using the c4 model with focus on the recommender

The Team

M5 Master Capsearch Bridging Talent and Career

Team

Supervision

Abstract

Our Goal

Main Idea

Process

The Team