+ 🧠 AI-powered crop diagnosis & recommendations
+ 📈 Real-time market price analysis
+ 🌐 Multi-language support for Indian farmers
+ 📊 Government scheme recommendations
+ 🔥 600M+ potential beneficiaries |
+ 🎯 92% accuracy in real-time classification
+ 📷 CNN-powered computer vision
+ 🌱 Deployed in smart farming pilots
+ ⚡ Edge computing optimization
+ 🏆 Published research paper |
+ 🧬 ML-powered treatment recommendations
+ 📜 JETIR journal publication (2023)
+ 🏥 85%+ accuracy in flu predictions
+ 🔬 Genetic & clinical data integration
+ 💡 Dual-model architecture |
+ 🔍 Real-time NLP-based detection
+ 🧠 Advanced sentiment analysis
+ 📊 NLTK & scikit-learn powered
+ ⚡ Flask web application
+ 🛡️ Digital truth verification |
class CurrentFocus:
def __init__(self):
self.projects = {
"🏥": "AI for Disease Prediction",
"🌱": "Climate-Smart Agriculture AI",
"📚": "Open Source ML Library",
"🧠": "AI Education Platform for India",
"🚀": "Next-Gen Computer Vision Models"
}
def daily_routine(self):
return "Code → Learn → Build → Impact" |
|




