The problem your project solves
Continous employment is one of the enormous challenges throughout the european countries. At the same time, the demand for highly skilled tech workers even increased through additional demand caused by the COVID crisis (e.g. home office infrastructure, digitization of business models etc.), even worsen the shortage of highly qualified tech workers. Our own data shows, that the amount of remote tech projects increased and the duration of filling those vacancies grew significantly. So, one promising way to tackle this issue, is to unite the market of highly skilled tech contractors in Europe and the world, making supply and demand visible throughout country borders. In order to achieve this three main challenges have to be tackled:
- Finding the most relevant sources for tech projects for specific countries
- Integrate them into single solution (e.g. a meta-search)
- Overcoming language barriers by translating and matching skill supply and demand
This is where Lyncronize comes into play.
The solution you bring to the table (including technical details, architecture, tools used)
Lyncronize crawls dozens of web pages with tech contractor jobs, analyzes data like main skills, location, duration, remote possibility, and provides an intuitive multi-lingual search interface. By means of semantic AI (find details below) profile data and projects are translated and matched, in order to identify the best-fitting-matches between supply and demand. With this, tech contractors can easily search and directly apply for jobs, not only in their own country but also in other countries. Moreover, Lyncronize provides detailed analysis of projects in certain industries, highly seeked skills and trends, in order to increase market transparency and employability.
The web application is done in Java using Sring framework. It consists of several microservices hosted inside Docker containers. We use Mongo DB and Elasticsearch for fast and highly scalable data management and search. The data science part is mostly based on Python frameworks like Scikit-learn and NLTK which we use for our ontology learning and the whole Natural Language Processing part. The frontend is based on Angular.
What you have done during the weekend
We mostly focussed on implementing features for a multilingual support. This meant to adjust the frontend, but also parts of the ontology model to use Italian phrases as an example. In addition, we worked on the international business model of our solution.
The solution’s impact to the crisis
Our own data suggests that freelance job offerings have declined by around 40% in April due to Corona. Still, lots of companies do not find the right people for certain jobs. By making remote jobs easily available across borders, Lyncronize fights the Corona impact on certain countries and helps people to find new jobs and stay employed.
The necessities in order to continue the project
Funding and/or additional customers
The value of your solution(s) after the crisis
Our own data suggests that tech contractor job offerings have declined in some areas (e.g. automotive, travel), overall the need for tech skills even rose and the duration till highly skilled tech contractors could be find took even longer than before the crisis. This is where Lyncronize comes into play – we help to identify highly skilled tech contractors throughout country borders, while identifying open job vacancies in the field of tech contracting at the same time. Thereby, we are helping tech contractors in times of crisis to find well-paid jobs, while companies are able to find the right skills in order to maintain their business operations.
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