WhatsApp: An Autonomous Alert System for Emergencies and Disasters

Peña-Cáceres O.; Chunga-Zapata E.; Silva-Marchan H.; Espinoza-Nima R.; Suárez-Villasís M.; Yánez-Palacios J.; Alvarado-Paiva D. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2024) · DOI: 10.18687/laccei2024.1.1.1587

Resumen

The challenges derived from climate change, the presence of the El Niño phenomenon, and the intense rainfall that causes an increase in river flows underline the importance of having autonomous warning systems in emergency or disaster situations. This study focused on the creation of a conversational agent using the WhatsApp and ManyChat platforms in order to inform the population about the rising level of the Piura River in Peru, taking as a reference the overflow that occurred in March 2017. The choice of ManyChat is supported by its ability to integrate with external services, such as Google Sheets and information access servers managed by technical-scientific entities. The use of technologies such as Google Apps Script and PHP made it possible to obtain and store data efficiently in the cloud, guaranteeing the availability and reliability of the information. The evaluation of the solution was carried out by means of a questionnaire addressed to 35 citizens of the localities of Piura and Castilla. The results indicate that 94.28% of the users are satisfied, and 91.42% highlight clarity and accessibility during conversational moments. For future research, the integration of a text messaging service is suggested to increase sociability, thus reinforcing the autonomy of the system in cases of emergency or disaster.

Instituciones: Universidad Privada Antenor Orrego; Universidad Nacional de Piura; Universidad Nacional de Tumbes; Universidad César Vallejo