Hudson

About

The problem it solves The Problem we solve: Managing meetings effectively can be challenging: -Remembering key points or action items after a meeting. -Manually reviewing long meeting recordings or notes to extract insights. -Keeping track of discussions and making them accessible for future reference. Our solution simplifies this process: -Hudson Captures live meeting discussions in real time and stores them in a structured format. -Enables users to retrieve relevant insights quickly through conversational queries like, “Hey Hudson, what did I do in the meeting the other day?” -Enhances accessibility by capturing voice for hands-free interaction. Key Benefits: -Saves time spent on note-taking and reviewing recordings. -Improves task tracking and follow-ups with actionable summaries. -Provides a seamless, AI-driven way to interact with meeting data, making team collaboration and personal productivity more efficient. Additional Features We: - Added contextual query processing using AI, enabling highly relevant and specific answers to user questions. - Enhanced the UI/UX of the Chrome extension for easy activation and a streamlined data capture process. - Developed MongoDB optimizations to ensure scalability for large datasets. - Chat you can interact with beyond summaries to get specific answers to your questions regarding the meeting.

How it's made

Challenges we ran into 1. Efficient Database Integration: Ensuring MongoDB handled large volumes of meeting text data efficiently was a challenge, especially with concurrent user interactions. Solution: Optimized database queries and indexing to ensure fast data retrieval. 2. AI Query Contextualization: Converting unstructured text into meaningful responses for user queries posed integration challenges with APIs, as some responses lacked specificity. 3. Voice Query System: Integrating voice query system while maintaining seamless interactions with our database was complex.