FreeFuse seeks to develop a lightweight but intelligent onboarding assistant that helps new users navigate and adopt the platform effectively. The AI-powered assistant will greet new users, guide them through setup, and answer commonly asked questions in natural language.

The core functionality will include:

• Conversational onboarding that adjusts based on user behavior (e.g., creator vs. viewer).
• FAQ automation, enabling the assistant to address typical support questions.
• Contextual nudges, such as suggesting what to do next or how to get the most out of a feature.

The system will be designed using pre-trained NLP tools and rule-based logic to avoid the complexity of building custom AI models. The emphasis will be on flow design, interaction quality, and integration simulation—not deploying advanced machine learning or computer vision.

• Conversational Flow Design – Scripted conversation journeys mapped for various onboarding user types.
• Functional Chatbot Prototype – Built using Dialogflow, LangChain, Rasa, or similar NLP tools.
• FAQ & Response Library – A curated database of onboarding and platform questions.
• UX Testing Report – Insights from a small group of test users and iterative design improvements.
• Final Presentation – A demo of the assistant in action with documentation on architecture, decisions, and future scalability options.