Content Matching for City Improvement

Developing new services or improving existing ones is becoming more accessible with the evolution of NLP techniques. Chatbots are a known example of an NLP-based service; they can interact with humans using text messages or natural language. NLP grants, however, the development of other types of services based on natural languages, such as machine translation, email spam detection, information extraction, content summarization, and question answering. A current need for employers and job seekers is a system that can match content (text) from a project offers description with the job seeker’s report to promote discovery between demand and supply by finding common patterns in different textual descriptions. This paper presents an implementation of an automated tool with AI and NLP to match needs and concrete ideas for innovation with the skills and offers of the business sector, including start-ups and entrepreneurs.