Robota is a platform presented at the Girls in Tech Hackathon (video by Grace Gong) that aims to help displaced Ukrainian workers find remote/global jobs. The presentation states that an estimated 4.8 million jobs have been lost in Ukraine and claims there are over 10 million working-age Ukrainians (including over 300,000 tech professionals) who could work remotely. The platform flow is sign-up → profile → employer posts job → algorithmic matching; Robota emphasizes security, verification, ontology- and rule-based recommendation, and transparency. The team lists a tech stack (Google Cloud, TypeScript, React, Django/Python, Netlify, Bootstrap, Git) and mentions a Figma prototype. Revenue is expected from referral bonuses, affiliate links for training/courses, and possibly a small commission.
Questions this video answers
An estimated 4.8 million jobs.
Over 10 million well-educated working-age Ukrainians.
Over 300,000 tech professionals.
Google Cloud, TypeScript, React, Django (Python), Netlify, Bootstrap, Git; prototype in Figma.
Referral bonuses from companies, affiliate links for job training/courses, and potentially a small commission.
Chapters
Introducing Robota Roboda means job in Ukrainian. The problem is that an estimated 4.8 million jobs have been lost in Ukraine. Successful economic adjustment remains one of the most pressing challenges for Ukraine workers. With legal barriers to accessing the labor market, language and recertification requirements, challenges matching talent to appropriate vacancies and discrimination. Most are overqualified. There is also a global talent shortage and over 10 million well educated working age Ukrainians and over 300,000 tech professionals who can work. The user flow consists of a sign up, creating a profile, the employer posting a job, and our algorithm matching users to jobs. Robota is secure, accurate, reputable and grounded in transparency. Our competitors are unable to match our platform due to issues like security concerns and lack of verification. For example, employee Ukraine posts jobs with unethical wages like $5 an hour job aid.
Ukraine crashes on some job applications and.
Jobs 4 UKR attempts to sell items to users which is unethical. Our algorithm is better than competitors by utilizing ontology and rule based recommendations.
Our tech stack consists of Google Cloud.
Platform, TypeScript, React, Django, Python, Netlify, Bootstrap and Git and you made a prototype and Figma. We'll be feasible financially and receiving revenue mainly through referral bonuses that we'll receive from companies and potentially receiving revenue through affiliate links for job training and courses. We could potentially take a small commission.
If applicants receive a job and we could also receive grants from various organizations. This is a general timeline and this is our team now onto our demo. When companies are onboarded onto Robota, they start by entering their basic information as well as a password. Once they enter the job details, they'll enter our vetting process and after they get verified, they can add more information about a listing. So that includes the title, location, description and job skills. This back end is a database. Our back end stores job seekers and companies and our front end allows companies to create profiles and create jobs and also for job seekers to create profiles and apply for the job. And the back end applies the matching algorithm that assigns job seekers jobs to apply to based on their skills. So this is an overview of a applicant who is adding their resume, their skills and their demographic information. And this is where again their information will be saved in a database and then the matching algorithm will run in the background and will assign them any matches. So this user did match with this job based on their skills. And this is thanks to our ontology and rule based job recommendation algorithm. Once we get more data, we'll be able to leverage it for machine learning through collaborative filtering or deep learning based on the best fitting model. Thanks for listening.
