Have you ever tried to file a report after witnessing infrastructure damage, only to find the process tedious, confusing, or time-consuming? You're not alone. Many field workers, volunteers, and everyday citizens often struggle with reporting issues due to complex forms, lack of technical literacy, or limited access to fast documentation tools. Manual entry is prone to error and delay, while traditional systems lack flexibility in capturing the full context of a situation. As a result, many reports are inaccurate, incomplete, or never submitted at all.

Our app, FieldMate, offers an intelligent and intuitive solution. By combining Speech Recognition and Natural Language Processing (NLP), FieldMate allows users to simply speak their observations. The system then automatically extracts key details—such as location, type of damage, and action taken—and populates the report. Users can optionally edit details manually, upload photos as evidence, and even track the status of previous reports. With plans to support PDF export, FieldMate streamlines reporting into a fast, reliable, and user-friendly experience.