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Symptom checker chatbot

  • Unique Paper ID: 164820
  • Volume: 10
  • Issue: 12
  • PageNo: 2215-2217
  • Abstract:
  • Our study introduces a chatbot for preliminary disease diagnosis, employing Flask, NLP, and machine learning techniques. Through Spacy's pre-trained model, the chatbot extracts symptom keywords, which are vectorized using TF-IDF and fed into a Random Forest classifier. The chatbot provides users with accurate disease predictions, enriched with dynamically integrated disease descriptions and precautions. This fusion of NLP and machine learning demonstrates a scalable approach to healthcare technology.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 12
  • PageNo: 2215-2217

Symptom checker chatbot

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