TaskKeepr.Demo.mp4
In the world of remote work, keeping track of your co-workers' availability - and informing them of your own plans - is a constant headache for many. TaskKeepr seeks to streamline this process by monitoring MS Teams chats and providing summaries of chats and messages that your co-workers want you to see but don't have a good option for doing so. The goal of TaskKeepr is to take the meaning of the @General tag back to its roots, namely mission-critical updates instead of unscheduled appointments with the dentist.
When a Team uses TaskKeepr, a Microsoft Teams bot will sit in on their existing channels to find and summarize messages related to important updates and scheduled - or unscheduled - time off taken by your coworkers. By utilizing the Cohere LLM, we can quickly and efficiently summarize and categorize text without complex classification algorithms.
TaskKeepr utilizes a simple React frontend to display info about your teams' schedules, but the critical mass of the app lies below the surface. A Cohere LLM takes care of text summarization, sentiment analysis, and classification using modern prompt engineering. A Flask backend API communicates between the Cohere API and the CockroachDB SQL database while also sending information on events, times, and user calendars to the React/Tailwind frontend.
As the vast majority of Hackathon projects live and die by the clock, the whole team learned plenty about time management and the importance of efficient grinding throughout a short period of time. Taking short/medium breaks throughout the event proved to be an extremely helpful boon to our productivity. In addition, everyone on the team honed their ability to quickly pick up and adapt to new technologies, an undoubtedly useful skill.