 FluWitter is a web-based prototype framework that uses Twitter streaming client, NLP techniques, and GIS software to detect influenza outbreaks in real-time from Twitter data. The study shows that the optimized rule produced an F-measure value of 0.72 and accuracy value of 94.4% with moderate correlations for certain regions and weak correlations for the entire time period. The prototype's strengths and benefits are demonstrated through spatiotemporal assessment and visualization of influenza potential in Ohio.