Enhancing Agricultural Communication: Converting Circulars into Video Content Using MERN and Python

The agriculture sector relies extensively on timely and effective communication for the exchange of vital information between farmers. Traditional text-based circulars are time- consuming due to low literacy levels, linguistic barriers, and limited access. In this research, an argument is made for a web platform built on the MERN stack (MongoDB, Express.js, React.js, Node.js) to create an interactive user interface, with Python as an additional feature to automate video creation. The platform utilizes Natural Language Processing (NLP), Text-to-Speech (TTS), and video rendering technologies to create accessible and interactive video content. A pilot trial of 150 farmers from different regions showed enhanced comprehension and engagement, suggesting the platform's capability to bridge the communication gap in the agriculture sector.