Akta.life is an AI-driven platform, created by Roman Slack and submitted to RIT HackCOMS 24, that serves as a personalized course hub for college students. It analyzes individual learning preferences, academic history, and career goals to recommend courses and professors tailored to each student's unique needs, with a particular focus on empowering first-generation and non-traditional students who often lack clear academic guidance.
The platform gives students detailed insights into course expectations, professor teaching styles, and success rates, helping them find the best fit and avoid mismatches that can lead to academic setbacks. It was built with React and an AI recommendation engine that leverages data on course structures and professor profiles to deliver targeted recommendations, and it integrates accessibility features to serve diverse learning backgrounds.
Notably, Akta.life emerged from the team's own perspective as college freshmen navigating the nuances of academic advising and time management. Beta testing reportedly showed high user satisfaction, with students reporting greater confidence and preparedness in their academic choices, and the project established a culturally meaningful brand. Planned future directions include expanding to more institutions, adding peer mentorship and academic support resources, and enhancing the recommendation engine with predictive analytics for real-time insights.
Key Features
- Personalized course recommendations based on learning preferences, academic history, and career goals
- Professor recommendations matching teaching styles to individual students
- Detailed insights into course expectations, professor teaching styles, and success rates
- AI recommendation engine leveraging course structure and professor profile data
- Accessibility features catering to diverse learning backgrounds
Tech Stack
Designed and built by Roman Slack, Lead AI Platform Engineer. See more of Roman Slack's work on the projects page or get in touch via the contact page.