AI Copilot for Mental Health: Sentiment Analysis and Wellbeing Dashboard Enhancement

Cognicorp+ Therapy Inc. is seeking to enhance its AI Copilot for mental health by integrating advanced sentiment analysis and developing a comprehensive wellbeing dashboard. The goal of this project is to improve the user experience and effectiveness of the AI Copilot by accurately interpreting user sentiments and providing actionable insights. This project will involve analyzing existing sentiment analysis algorithms, identifying areas for improvement, and implementing enhancements. Additionally, the project will focus on designing a user-friendly wellbeing dashboard that displays key metrics and insights derived from sentiment analysis. The project aims to bridge the gap between AI technology and mental health support, providing users with a more personalized and supportive experience. - Analyze current sentiment analysis algorithms used in the AI Copilot. - Identify and implement improvements to enhance sentiment accuracy. - Design a comprehensive wellbeing dashboard for user insights. - Ensure the dashboard is intuitive and user-friendly.

IT/Cybersecurity/Programming

Our organization is able to offer computer science students or teams an opportunity to work on our platform for mental healthcare and training that is leveraging immersive technology. (Web, AI, VR, AR, IOT) The primary focus areas for this project: Website Integration - We have a user panel we would like to integrate into our website. (C-panel) Cybersecurity- Auditing of compliance regulation implementation in existing platform and programming to meet HIPAA/PIPEDA Compliance regulation. Software Evaluation (e.g. new CRM) - Conducting a needs analysis; researching available options; evaluating the options within the context of our organization's budget, immediate needs, and projected needs. Application Programming Interfaces - Redesigning an existing API to simplify it; changing API technologies; designing a new API; creating or updating public-facing documentation. Machine Learning Software Solution - Creating a recommendation engine; spotting trends in existing data; spotting anomalies in data sets. Real-Time Data Visualization - Creating a charting system with basic querying functionality; creating a dashboard to visualize key performance metrics of our organization or tool. Software Lifecycle Analysis - Improving our existing software development lifecycle methodologies; determining if we should use a waterfall approach or an agile approach; researching tools for continuous delivery or integration. Open Source Software Management - Researching potential open source tools for our organization’s use; contributing to open source projects through bug fixing or feature implementation. Database Analysis - Decreasing query execution time; Changing ORM code in hotspots to more efficient SQL. We will plan to communicate with our virtual intern using these communication tools : Riipen messaging, company slack, email, zoom calls This is a great opportunity for interested students to gain experience working with XR technologies!

Generative AI Prompt Engineer student

What is the main goal for the project? Our web platform is using AI to analyse the need of patient in a timely matter to personalized care by providing self-guided, assisted exposure and group therapy on demand. We need a AI prompt Engineer students that have knowledge of chatgpt- Midjourney generative image to personalized our therapy solution in real-time

Business analyst - Software DEV-AI-Machine learning

Our organization is able to offer students in Business analysis, AI-Machine learning, and Software development knowledge on immersive technologies. We are providing an opportunity to work on our platform for mental healthcare and training that is leveraging immersive technology. (Web, AI, VR, AR, IoT) The primary focus areas for this project: Development of phase 1 of our AI-Machine learning Application Programming Interfaces - Redesigning an existing API to simplify it; changing API technologies; updating our existing API to add the text analysis; creating or updating public-facing documentation. The recommendation in terms of spotting trends in existing data; spotting anomalies in data sets.