const=>{ }asyncawait0x1Freturn[]null::</>trueconst=>{ }asyncawait0x1Freturn[]null::</>trueconst=>{ }asyncawait0x1Freturn[]null::</>trueconst=>{ }asyncawait0x1Freturn[]null::</>trueconst=>{ }asyncawait0x1Freturn[]null::</>trueconst=>{ }asyncawait0x1Freturn[]null::</>true
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// full-stack, pixel-perfectexport default async function Portfolio() {const projects = await fetch('/api/projects', { cache: 'force-cache' });return projects.map(render);}
# ml pipeline @ geakminds@app.post("/predict")async def predict(payload: Features):x = scaler.transform([payload])y = model.predict(x)return {"risk": float(y[0])}
❯jerophin@portfolio:~$ npm run build
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RV Diagnose
Intelligent plant disease detection system built with deep learning and TensorFlow, enabling farmers to identify crop diseases early through image analysis and providing actionable recommendations for treatment.
Python
TensorFlow
Deep Learning