MediLens — Medical Data Decoded

The Challenge

Patients receive complex lab reports filled with medical jargon, reference ranges, and technical values that are difficult to interpret. Most people cannot understand their own health data without a doctor's appointment, leading to delayed health decisions.

The Solution

Built MediLens — a platform where users upload lab reports (PDF/image) and receive AI-generated, plain-English analysis. The system extracts test panels, compares values against reference ranges, and provides personalized health insights. A Family Hub allows tracking health data for multiple family members over time.

Key Architecture

Code Highlight

// Gemini-powered lab report analysis
async function analyzeReport(reportFile: File) {
  const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" });

  const prompt = `Analyze this medical lab report. Extract:
    1. All test panels and individual parameters
    2. Compare each value against its reference range
    3. Flag abnormal values with clinical significance
    4. Provide a plain-English health summary`;

  const result = await model.generateContent([
    prompt,
    { inlineData: { data: fileBase64, mimeType: file.type } }
  ]);

  return parseAnalysisResponse(result.response.text());
}