ML Recommendation Engine Development

We are an early stage Ed-Tech startup with partnerships from AWS, Stripe, and the Vector Institute that aims to build a platform where students and tutors are matched using our recommendation engine. We would like to work with students to develop and refine our recommendation system that optimally matches students with tutors based on inputs from our intake questionnaire. This will involve several different steps for the students, including:Analyzing our existing datasets of users, comprised of both students and tutors.Developing a recommendation engine software.Optimizing software runtime performance and assessing areas for improvement.Leveraging AWS to deploy matching models and host our platform.Testing the developed software by working closely with customers and making improvements based on additional data.