To design and develop an AI-powered customer support chatbot platform capable of handling user queries across web and mobile channels. The system should integrate Natural Language Processing (NLP) techniques, automated response generation, and live agent escalation to improve customer engagement and service efficiency.
Study chatbot architecture and NLP fundamentals.
Design system workflow for user query processing.
Integrate NLP library (Dialogflow/Rasa).
Develop intent recognition and entity extraction modules.
Create predefined response database.
Implement machine learning-based response improvement.
Develop multi-channel integration (web/mobile).
Add live agent handover feature.
Store conversation history securely.
Implement analytics dashboard for query trends.
Add admin panel for training chatbot intents.
Conduct user testing for accuracy measurement.
Optimize response time performance.
Deploy platform on cloud environment.
Document architecture, datasets, and evaluation results.
