RASA Chatbot (VolgAI, Personal FAQs)

An AI powered Information Retrieval chatbot developed using the RASA stack.(Python, JavaScript, JQuery, HTML/CSS, YAML, Docker, docker-compose, supervisord, Nginx, RabbitMQ, Redis, PostgreSQL etc.)

Tasks/Achievements:

Overall Result:

• 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