- Description
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Headquartered in Toronto, Ontario, Roam X is a Canadian food discovery app that helps users find restaurants based on vibe, mood and occasion. Whether you’re planning a cozy date night, a solo lunch, or a night out with friends, Roam X curates dining experiences that match how you feel. We are proud to be a minority-led business, federally recognized in Canada as BIPOC-owned, and committed to inclusive hiring practices as an equal opportunity employer.
Basée à Toronto, en Ontario, Roam X est une application canadienne de découverte de restaurants qui aide les utilisateurs à trouver des établissements en fonction de l’ambiance, de l’humeur et de l’occasion. Que vous planifiiez un rendez-vous romantique, un déjeuner en solo ou une soirée entre amis, Roam X propose des expériences culinaires qui correspondent à ce que vous ressentez. Nous sommes fiers d’être une entreprise dirigée par des personnes issues de minorités, reconnue au niveau fédéral au Canada comme appartenant à un propriétaire BIPOC, et engagée envers des pratiques d’embauche inclusives en tant qu’employeur garantissant l’égalité des chances.
- Number of employees
- 2 - 10 employees
- Company website
- https://roamxai.com
- Industries
- Entertainment Food & beverage Technology
- Representation
- Minority-Owned BIPOC-Owned Small Business
Recent projects
AI-Powered Restaurant Intelligence Pipeline
Roam X aims to enhance its restaurant listing service by developing a robust data pipeline. The goal is to automate the process of scraping, enriching, and tagging restaurant data to ensure listings are up-to-date, comprehensive, and optimized for accurate recommendations. This project will allow learners to apply their knowledge of data scraping, data enrichment, and machine learning algorithms to create a system that can handle large volumes of data efficiently. The project will focus on developing a streamlined process that can be easily maintained and scaled as needed. By the end of the project, learners will have gained practical experience in building data pipelines and implementing auto-tagging mechanisms, which are crucial skills in the data science and software development fields.
AI Algorithm Testing
The objective of this project is to support the quality assurance and evaluation of a personalized restaurant recommendation system. The student will focus on testing, validating, and analyzing the accuracy of tag-based metadata and recommendation outputs. Rather than altering any core algorithms, the student will conduct structured audits and evaluations to help identify mismatches, anomalies, or inconsistencies in how restaurants are categorized and recommended. This work is crucial in helping improve data hygiene and tagging consistency, supporting future product reliability without impacting live systems or core ML infrastructure.