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Challenges and Solutions

Challenges

  • Inaccurate classification of a message -> Label and assign all the messages in the initial stages and get feedback.
  • Performance Optimization: Balancing the demands of ml models and NLP processing with the need for real-time response.
  • Maintaining a high standard of response quality
  • Inaccurate translation leading to wrong medical answers -> MSEs will flag this and provide a feedback
  • Ensuring the incoming messages are cleaned and standardized to maintain high data quality for NLP analysis

Mitigation Strategies

  • To be defined

Risks

(to be added)