MedVerify Nova

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  Nova Sakhi is designed to support and empower rural women with accessible, reliable, and easy-to-understand health guidance.

Inspiration

Counterfeit medicines remain a serious public health threat, especially in rural and low-resource communities. Patients often unknowingly purchase fake drugs due to limited awareness and lack of verification tools.

We were inspired to build MedVerify Nova to empower patients and pharmacies with an AI-powered verification assistant that makes medicine authentication simple, fast, and accessible.

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What It Does

MedVerify Nova is an AI-powered medicine verification system that uses multimodal intelligence to analyze:

• 📷 Medicine packaging images
  
• 🔢 Batch numbers and expiry dates
  
• 🏷️ Label consistency and formatting
  

The system evaluates authenticity risk and classifies medicines as:

• 🟢 Likely Authentic
  
• 🟡 Needs Further Verification
  
• 🔴 Potentially Counterfeit
  

It also provides educational guidance to help users take the next step safely.

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How We Built It

We built MedVerify Nova using:

• Amazon Nova for multimodal AI reasoning
  
• Image analysis to extract and interpret packaging details
  
• Text parsing to verify batch number patterns
  
• A risk scoring logic model to flag anomalies
  

Workflow:

User Upload → Image & Text Analysis → AI Reasoning → Risk Classification → User Guidance

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Challenges We Faced

• Designing a system that works with low-quality images
  
• Handling variations in medicine packaging formats
  
• Ensuring the AI provides responsible health-related guidance
  
• Simulating counterfeit detection without access to full pharmaceutical databases
  

These challenges pushed us to focus on explainable AI reasoning and responsible output design.

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What We Learned

• The power of multimodal AI in solving real-world healthcare problems
  
• The importance of ethical AI in health-related applications
  
• How scalable AI systems can improve public safety
  

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Impact

MedVerify Nova has the potential to:

• Reduce counterfeit medicine risks
  
• Increase patient awareness
  
• Support pharmacists in low-resource settings
  
• Strengthen public health safety
  

With further integration into pharmacy networks and regulatory databases, this solution can scale nationally and globally.

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Future Scope

• Integration with official pharmaceutical databases
  
• QR-code based manufacturer verification
  
• Multilingual voice assistant support
  
• Counterfeit hotspot analytics dashboard
  
• Pharmacy and regulator reporting system
  

Built With

• amazon
• amazon-web-services
• api
• cloud
• frontend
• functions
• gateway
• image
• nova
• ocr
• processing
• python
• react
• rest
• s3
• serverless
• web