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MedWise – AI-Powered Second Opinion System

The Challenge

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An intelligent platform that provides patients with an AI-driven second opinion on prescriptions and reports. It analyzes uploaded medical data, summarizes key findings, and connects patients to the right doctor for expert validation.

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Ensuring accurate interpretation of diverse medical documents, maintaining patient data privacy, and aligning doctor availability with system automation were key technical and operational hurdles.

Technology Used :​

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  • Python (FastAPI / Flask): For backend API development and data processing.

  • Machine Learning Models: Transformer-based NLP for text interpretation and CNNs for medical imaging analysis.

  • Database: PostgreSQL / MongoDB for structured and unstructured data storage.

  • Cloud Infrastructure: AWS / GCP for scalable deployment and model hosting.

  • Data Security: End-to-end encryption and secure access control for patient data privacy.

  • Automation & Integration: APIs for doctor assignment, report delivery (email/SMS), and audit tracking.

Outcomes Achieved:

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  • Reduced turnaround time for obtaining expert medical second opinions.

  • Improved accuracy and consistency in interpreting prescriptions and reports.

  • Enhanced patient trust and confidence through verified medical validation.

  • Created a structured, anonymized dataset to continuously refine ML models.

  • Enabled scalable doctor–patient connectivity across multiple specialties.

  • Strengthened healthcare data management with secure and traceable records.

Solution Implementation:

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  • Patient uploads medical documents (prescription, reports, imaging) + health & medication history.

  • System preprocesses inputs: OCR for images/X-rays, NLP to parse text, standardize medical terms.

  • ML module generates a concise summary: diagnoses, medicine list, potential issues or conflicts.

  • Doctor matching engine finds suitable specialist based on availability, domain, and patient’s details.

  • Doctor reviews the ML-generated summary and inputs final remarks.

  • Final report delivered to patient via email / SMS; all data securely stored for auditing & future learning.

To achieve solution by checking Dr reports use robots and Dr.jpg
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