The project involves developing a sentiment prediction AI model for "Air Paradis" to anticipate negative buzz on social networks. The task includes creating a prototype API to predict tweet sentiment using both simple and advanced models, including deep learning and BERT-based approaches. Additionally, the project will implement MLOps best practices, including experiment tracking with MLFlow, continuous deployment, and production monitoring with alert systems. The final deliverables include a cloud-deployed API, scripts for the models, an API test interface, and a blog article documenting the process.