1:"$Sreact.fragment" 2:I[91389,["/_next/static/chunks/d9e0d68f528a2dc6.js","/_next/static/chunks/ea6bdb0d940bcd8e.js","/_next/static/chunks/537d354b60c3ef65.js"],"default"] 3:I[97367,["/_next/static/chunks/ff1a16fafef87110.js","/_next/static/chunks/d2be314c3ece3fbe.js"],"OutletBoundary"] 4:"$Sreact.suspense" 0:{"buildId":"bJ-pHYGFcnjokhVAm8kTC","rsc":["$","$1","c",{"children":[["$","main",null,{"className":"min-h-screen bg-[#F8F9FA]","children":["$","$L2",null,{"project":{"id":"4","title":"Patient Diagnostic Bot","description":"This Patient Diagnostic System utilizes AI and ML algorithms in a conversational chatbot to streamline disease diagnosis, alleviating the heavy burden on doctors.","image":"https://images.unsplash.com/photo-1576091160399-112ba8d25d1d?q=80&w=2070&auto=format&fit=crop","link":"/portfolio/4","category":"AI Diagnostics","year":"2023","duration":"8 Months","technologies":["React Native","Node.js","OpenAI API","Hugging Face","Kubernetes"],"features":["Conversational AI chatbot that conducts dynamic, adaptive symptom intake interviews.","Structured pre-diagnosis report generation summarizing patient complaints for doctors.","HIPAA-compliant data handling with end-to-end patient conversation encryption.","Emergency symptom detection module that immediately escalates critical cases to human staff.","Multi-language support covering the client's top 8 patient demographics.","Seamless integration with existing Electronic Health Record (EHR) systems via HL7 FHIR.","Mobile app for iOS and Android with offline symptom data capture capability."],"challenge":"A prominent telemedicine provider was drowning in initial consultation requests. Doctors were spending up to 60% of their valuable time merely gathering basic symptom history and asking routine triage questions, leading to massive backlogs and physician burnout.","solution":"We designed a highly empathetic, HIPAA-compliant conversational AI bot using fine-tuned Large Language Models. Patients interact with the bot through a sleek mobile app (React Native) prior to their appointment. The bot asks dynamic follow-up questions based on the patient's inputs and compiles a comprehensive, structured pre-diagnosis report for the doctor to review instantly.","results":["Saved an average of 12 minutes per doctor consultation.","Handled 10,000+ concurrent patient triage sessions without system degradation.","Achieved a 94% patient satisfaction rating for the app's ease of use.","Successfully flagged 100% of critical emergency symptoms for immediate human intervention."]}}]}],[["$","script","script-0",{"src":"/_next/static/chunks/537d354b60c3ef65.js","async":true}]],["$","$L3",null,{"children":["$","$4",null,{"name":"Next.MetadataOutlet","children":"$@5"}]}]]}],"loading":null,"isPartial":false} 5:null