Developed Uncover, an innovative AI-powered tool that analyzes workplace communication patterns to provide insights into team dynamics, collaboration effectiveness, and workplace sentiment. The project uses natural language processing to automatically detect communication patterns from various workplace platforms.
Technical Implementation:
- Built NLP pipelines to process and analyze team communication data from multiple sources
- Implemented sentiment analysis algorithms to detect workplace mood and team dynamics
- Created machine learning models to identify communication patterns and collaboration metrics
- Developed automated data processing workflows for real-time analysis
- Built visualization dashboards to present actionable insights to managers
- Designed scalable architecture to handle large volumes of communication data
Project Vision: Uncover aims to help managers better understand workplace dynamics by providing data-driven insights into team communication patterns. The tool can potentially integrate with company emails, Slack, and meeting platforms to create comprehensive analysis of team effectiveness and workplace culture.
Future Development: Plans include voice inflection detection for sarcasm and humor recognition, automated data ingestion from multiple communication platforms, and real-time alerts for potential workplace issues.