We delivered a platform that provides organizations with the ability to create projects by including detailed descriptions, keywords, and AI-generated questions. They can access a curated list of experts matched to their project requirements, review and approve expert-provided video responses with built-in feedback tools, and collaborate with team members through project-sharing capabilities.

For experts, the platform allows them to build comprehensive profiles showcasing their experience, publications, and achievements. They receive invitations to participate in relevant projects, record and upload video responses directly through an intuitive interface, and manage earnings while tracking performance metrics. Additionally, the platform includes a curated feed where users can explore relevant topics, follow experts and their content, and create playlists for personalized content curation.

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.