Abstract: The AI Health Advisor is an innovative application designed to provide personalized health advice based on symptoms described by users in natural language. The system integrates ad- vanced natural language processing (NLP) and machine learning (ML) to interpret user inputs, map symptoms to potential medical conditions, and generate actionable recommendations. The application comprises a user-friendly interface supporting text and voice inputs, an NLP mod- ule for symptom extraction, an ML model trained on a comprehensive medical knowledge base, and a recommendation engine for delivering tailored advice. Security features, including AES-256 encryption, ensure user data privacy. The system is accessible across web and mo- bile platforms, supports multiple languages, and is designed for scalability and integration with healthcare systems. The invention addresses the need for accessible, accurate, and secure pre- liminary health assessments, particularly in underserved areas, by leveraging AI to empower users with informed health decisions.
Description:ObjectiveoftheInvention:
TheprimaryobjectiveofthisinventionistodevelopanAIHealthAdvisorapplicationthat:
•Processesuser-describedsymptomsinnaturallanguage.
•Providesaccurateandcontextuallyrelevanthealthadvice.
•Ensuresuserdataprivacythroughsecureprocessing.
•Offersascalablesolutionforintegrationwithhealthcaresystems. , Claims:5.CLAIMS:
1.AnAI-basedhealthadvisorysystemcomprising:
•auserinterfaceforinputtingsymptomsinnaturallanguage;
•anaturallanguageprocessingmoduleforparsingandextractingsymptominforma-tion;
•amachinelearningmodeltrainedtomapsymptomstomedicalconditions;
•arecommendationengineforgeneratingpersonalizedhealthadvice;and
•asecuredatabaseforstoringmedicalknowledge.
2.Thesystemofclaim1,whereintheuserinterfacesupportstextandvoiceinputsinmul-tiplelanguages,includingHindi,Telugu,andTamil.
3.Thesystemofclaim1,whereinthenaturallanguageprocessingmoduleemploysspaCy . or equivalent libraries to achieve at least 90% accuracy in symptom extraction.
4.Thesystemofclaim1,whereinthemachinelearningmodelistrainedonanonymized healthdataandachievesadiagnosticaccuracyofatleast95%.
5.Thesystemofclaim1,furthercomprisingasecuritymodulethatimplementsAES-256 encryptionforuserdataprotection.
6.Amethodforprovidinghealthadviceusingthesystemofclaim1,comprisingthesteps of: •receivinguserinputdescribingsymptoms;
•processingtheinputusingnaturallanguageprocessing;
| # | Name | Date |
|---|---|---|
| 1 | 202541069232-REQUEST FOR EARLY PUBLICATION(FORM-9) [21-07-2025(online)].pdf | 2025-07-21 |
| 2 | 202541069232-FORM-9 [21-07-2025(online)].pdf | 2025-07-21 |
| 3 | 202541069232-FORM 1 [21-07-2025(online)].pdf | 2025-07-21 |
| 4 | 202541069232-FIGURE OF ABSTRACT [21-07-2025(online)].pdf | 2025-07-21 |
| 5 | 202541069232-DRAWINGS [21-07-2025(online)].pdf | 2025-07-21 |
| 6 | 202541069232-COMPLETE SPECIFICATION [21-07-2025(online)].pdf | 2025-07-21 |