RASA Chatbot (VolgAI, Personal FAQs)
- Chatbot Development from scratch with RASA Stack(NLP).
- Model Optimization, pipeline configurations, rasa-x integration.
- STT intgration with rasa chatbot.
- chatbot frontend development.
- Docker/docker-compose deployment, supervisord, nginx, postgres, rabbitmq, etc. for deployment.
Designing and concepts:
- Define chatbot personality
- User intent, Chatbot action (interaction) design
- User testing with GUI
- Concepts of RASA core, RASA NLU, Domain, Stories, NLU Data, etc.
Building and working:
- Understanding of user input, NLP
- Natural Language Understanding(NLU)
- Different approaches for the response that the chatbot will generate
- Intent and Entity extraction, slots using, LSTM-RNN, GRU cell
- Contextual dialogue handling with deep learning