leaf-diseases-detect and corn-disease-detection
These are competitors—both provide Streamlit-based web applications for leaf disease detection using deep learning, but Tool A offers multi-crop disease detection via Llama Vision while Tool B is specialized for corn-only classification via CNN.
About leaf-diseases-detect
shukur-alom/leaf-diseases-detect
AI leaf disease detection system with FastAPI + Streamlit using Llama Vision (Groq) for all diseases, severity and treatment recommendations
Leverages Meta's Llama Vision via Groq API to identify 500+ plant diseases across fungal, bacterial, viral, pest-related, and nutrient deficiency categories with confidence scoring and severity classification. The dual-interface architecture decouples a FastAPI backend service (with auto-generated OpenAPI docs) from a Streamlit frontend, enabling both programmatic API access and interactive web usage. Core features include structured JSON outputs with symptom analysis, environmental factors, and evidence-based treatment protocols, optimized for sub-5-second inference with configurable temperature and token parameters.
About corn-disease-detection
BoubaAhmed/corn-disease-detection
Deep learning project to detect corn leaf diseases using a CNN model with a Streamlit web application.
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