Summary

• Our client is from the e-commerce services who are majorly looking for a solution for their e-commerce business. Their solution involves advanced usage of AWS along with Natural Language Processing to make sure that the business is profitable.
• The client was specific about their requirement on accurate detection of user’s emotion through voice and text
• Our team designed and implemented the solution using seven plus technologies which included Natural Language Processing, Machine Learning, Artificial Intelligence, Scala and PyTorch.

Tech Challenge

• The solution should be able to understand different voices and should be able o understand different languages.
• The chatbot should be able to generate different emotions and intensity.
• The system should be able to chat with the user and give accurate responses.
• The response time of the solution should be very quick.

Solution

• The system is capable enough to get different voices and process through NLP and Text Mining.
• Different intensity and emotions were captured efficiently using TensorFlow and Scala
• The solution uses the time tracking algorithm to make sure that response time is accurate
• The virtual assistant uses reinforcement learning to receive rewards from users

Project Planning

• 2 Week -Solution Architecture Desgin -Solution Architect

• 4 Week - Integration, Testing and Deployment

• 6 Week - Exploratory Data Analysis and Model Building

• 8 Week - Collection of data and realtime streamlining and development

Results

• We have developed a solution that is backed with a lot of advanced technologies thus making the solution accurate and fast.
• The solution is capable of processing large amounts of data coming from different resources.
• The solution allowed the customers to rate their experience and also all types of voices from different languages can easily be analyzed.