API Endpoint Creation

The primary objective of this project is to design and implement 40 API endpoints that power the Roam X mobile application. These endpoints will handle core functionalities such as user authentication, profile management, restaurant discovery, dinner club reservations, editorial list recommendations, and real-time user feedback. The goal is to ensure the backend provides secure, scalable, and efficient data flow between the mobile frontend and the database, enabling a seamless user experience. This experience is great for those looking to fine tune or develop their backend skills! Key goals include: Establishing a consistent API architecture aligned with RESTful best practices (or GraphQL if required). Maintaining clear documentation and API testing coverage for developer usability. Creating APIs that are modular and reusable , allowing for future feature expansion without major refactoring.

AI-Powered Multimodal for Food Recommendations

Objective: Build a multi-modal AI engine that fuses restaurant reviews, tags, and images to generate better semantic embeddings and improve personalized recommendations. Goals: Fuse image and text data for improved ranking and retrieval Integrate user feedback into continuous training Deploy and test a fully operational recommendation engine

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.