Users can describe their projects, after which the platform generates relevant questions using AI. These questions are sent to selected experts who create video responses addressing the specific topics. Each expert video is accompanied by transcript sections for easy reference. Beyond expert interactions, users can curate their own content on chosen topics, follow individuals specializing in specific ESG areas, and build personalized knowledge playlists, fostering a collaborative and informed community.

Built with React for the frontend and Ruby on Rails for the backend, the system ensures a responsive and intuitive user interface alongside robust and scalable backend services. AWS is utilized for cloud hosting, providing reliable infrastructure, while Python handles data classification and Machine Learning tasks efficiently.

Transformer-based NLP models generate questions from user project descriptions by analyzing the context of the input text. Supervised learning algorithms, trained on labeled ESG datasets, accurately categorize articles by topic through processes like tokenization, normalization, and feature extraction.