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endax/Amharic-Agriculture-Chatbot

Domain:

natural language processingagriculture

Record type:

software
Creator:
end
Host:
Deep Learning Based Amharic Chatbot for Agriculture Support # Amharic Agriculture Chatbot ### Deep Learning Based Amharic Chatbot for Ethiopian Farmers --- ## Project Overview This project is an MSc thesis research focused on building an intelligent chatbot that understands and responds to agricultural questions in the Amharic language. The goal is to support farmers with accessible, AI-powered agricultural guidance. --- ## 🧠 Technologies Used - Python - TensorFlow - NLP Techniques - Deep Learning - Pandas - NumPy --- ## Features - Amharic text preprocessing - Intent classification - Deep learning model training - Agricultural knowledge response system - Interactive chatbot interface --- ## Research Contribution This system contributes to: - Low-resource language NLP - AI for Agriculture - Intelligent advisory systems --- ## 👨‍💻 Author Endalk Nigussie MSc in Computer Engineering AI & Machine Learning

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