Roam X Social Media Brand Strategy Development

Roam X, a company specializing in Ai restaurant recommendations, seeks to enhance its brand presence across various social media platforms. The goal of this project is to develop a comprehensive brand strategy that aligns with Roam X's mission and values, while effectively engaging its target audience. Learners will analyze current market trends, competitor strategies, and Roam X's existing social media presence to identify opportunities for growth and improvement. The project will involve creating a cohesive brand narrative and identifying key performance indicators (KPIs) to measure success. By the end of the project, learners will have applied their classroom knowledge of marketing principles and social media dynamics to create a strategic plan that Roam X can implement to strengthen its brand identity and increase its online engagement.

AI-Powered Multimodal for Restaurant Recommendations

Roam X is an AI-powered restaurant discovery app that helps users find restaurants based on their taste and vibe. In this project, learners will explore how recommendation systems work by contributing to a scaled-down prototype of our model. This experience will focus on understanding the foundations of model training, evaluation, and testing using simulated data in a safe, non-production environment. Objective To help enhance a prototype recommendation engine by experimenting with fine-tuning techniques and model evaluation on AWS SageMaker (or a comparable environment). Learning Goals Participants will: Learn how recommendation systems use data to personalize results Practice preparing datasets for AI model training Explore fine-tuning and evaluation workflows in SageMaker Compare different model versions using performance metrics Gain experience documenting experiments and communicating findings

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

Multi-Modal Integration Enhancement

Roam X is looking for an Ai engineer to take our Ai model and add some pretty interesting features. Objective: Assist our current Ai engineer in building a multi-modal AI engine that fuses restaurant reviews, tags, and images to generate better semantic embeddings and improve personalized recommendations. If you're familiar with RAG searching , then this is the internship for you. Join us as we look to make food search even easier