The growing necessity for effective social assistance emphasizes the need for digital solutions to provide more seamless connections between individuals with needs and potential helpers or organizations. Traditional supports for identifying and resolving community needs are generally manual reports through known channels, by word-of-mouth, or via delayed interventions by a social service agency. Both the timeliness and transparency of these approaches with respect to their accuracy diminish support timeliness. With the recent advances in mobile technology, cloud technology, and real-time data processing capabilities, solutions to satisfy the need for identifying in the gap between need and support may be possible through newly developed community driven social welfare platforms. Helping Hands is intended to be one such solution—a mobile application designed with Flutter as the frontend and Firebase as the backend. This combination of technologies provides the usability across different platform devices, scalability and consistent performance across user conditions. This platform will allow the user to take and upload photographs of individuals or communities in need of help. Each time that a post is made, location data from the device will automatically be used to create an accurate geotag, thus creating a geographic context for the uploaded image..
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