Customer support, in this era of digital disruption, is trending more toward automation; the twin purposes are to improve efficiency and customer satisfaction. Conventional customer support techniques generally include long wait times and at times are pretty resource intensive. A chatbot in that respect can handle such issues by responding instantly, 24/7, to the inquiries of customers.
This project seeks to propose the design for a customer support chatbot driven by NLP and machine learning that has the capability of answering a wide variety of customer inquiries quickly and accurately with a high degree of accuracy.
Week 1-2: Initial Planning and Requirement Analysis
Define project objectives, scope, and high-level requirements
Gather necessary data and resources Week 3-4: Chatbot Design and Dataset Preparation Phase
Design architecture for the chatbot and user-interaction flow.
Prepare and preprocess the customer queries and responses dataset.
Week 5-6: Chatbot Development Phase
Develop a chatbot using NLP and machine learning algorithms.
Train the bot with the prepared dataset.
Week 7-8: System Integration Phase
Integrate chatbot with the existing customer support systems
Development of features allowing real-time query processing and response generation.
Week 9-10: Testing and Refinement
Extensive testing for accuracy and reliability of the responses.
Chatbot refinement using performance metrics and user feedback.
Week 11-12: Final Evaluation and Reporting
Final evaluation and validation of chatbot.
Final project reporting and documentation
Presentation of individual reports by students
