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Technologies Involved:
ReactJS
PYTHON
CHATGPT
Area Of Work: Chat bot
Project Description

An AI-powered chatbot was developed for a client to help users assess COVID-19 symptoms through a guided question-and-answer interaction. The client approached Oodles to create a tool that could provide essential information on symptoms, vaccination, and local resources, thereby enhancing public health awareness. Oodles delivered a user-friendly chatbot solution that collects and analyzes user data to evaluate potential infection risks. 

Scope Of Work

The client engaged Oodles to create an AI-powered chatbot to assess COVID-19 symptoms and provide essential health information. They needed a solution to interact with users, analyze data to identify potential infections, and offer guidance on symptoms, prevention, treatment, vaccination, and local resources. Oodles developed a user-friendly chatbot with real-time data analysis and accurate, up-to-date content. The project covered AI development, natural language processing, and user experience design, ensuring the chatbot effectively supported public health awareness during the pandemic.

Our Solution

Our solution for this project encompassed the following services and technologies:

  • Built Conversational Interface: Used Amazon Lex for natural language understanding, enabling the chatbot to recognize user intents for symptom checks and information requests.
  • Handled Logic and Integrations: Leveraged AWS Lambda for data processing, complex logic, and external API integrations to ensure smooth operations.
  • Developed User-Friendly Frontend: Created a JavaScript frontend for an interactive and responsive user experience with the chatbot.
  • Integrated Knowledge Base: Linked the chatbot to a knowledge base for up-to-date COVID-19 information, ensuring accurate and helpful responses.
  • Tech Stack Selection: Amazon Lex and AWS Lambda were chosen for their integration and scalability; JavaScript provided flexibility for frontend development.
  • Measured Success: Achieved a 70% reduction in query resolution time and an 85% user satisfaction rate.
  • Client Impact: Enhanced user engagement and trust, bolstering the client’s reputation in the health sector during the pandemic.

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