Front-end development for a digital health + edtech product

Main Objective This project aims to develop the front-end of Odyssey , a hybrid mobile application that integrates digital health and edtech solutions to support learners with severe autism. The goal is to create an intuitive and accessible platform that enables teachers and parents to implement evidence-based interventions through task analysis and video modeling. Project Overview Odyssey is designed to assist learners with severe autism by digitizing interventions and enhancing accessibility to structured learning experiences. The application will: Enable teachers to create and customize interventions using task analysis and video modeling , incorporating multimedia elements (videos, images, and audio). Allow teachers to design reusable intervention templates for parents to implement at home, ensuring learning continuity. Implement a rewards system based on learners' interests to encourage engagement and progress. Provide personalized dashboards for teachers, parents, and students to monitor progress, manage interventions, and track rewards.

Optimizing LLM Evaluation for Enhanced Chatbot Performance

The project aims to enhance the evaluation process of large language models (LLMs) used in chatbot configurations on our AI applicaiton. The primary goal is to optimize system prompts and other configurations to improve the efficiency and accuracy of AI agents. This project provides learners with an opportunity to apply their classroom knowledge of AI and machine learning in a practical setting. The team will conduct thorough testing of various prompt configurations, analyze the results, and tweak the settings to achieve optimal performance. By engaging in this project, learners will gain hands-on experience in fine-tuning AI systems, a crucial skill in the field of artificial intelligence. The project is designed to be completed by a team of learners from a computer science or AI program, ensuring that participants have a shared skill set.