The Challenge#
Analyzing thousands of drone log entries manually is time-consuming and error-prone. Traditional keyword searches miss contextual relationships between events.
The Solution#
Built a semantic search system that converts log entries into vector embeddings, allowing analysts to query by meaning rather than exact keywords.
Key Achievement#
Reduced log analysis time from hours to seconds, enabling real-time insights into drone behavior patterns and mission-critical events.
Technologies Used#
Python, sentence-transformers, NumPy, Pandas, Tkinter (GUI)