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- Crop Recommendation

- Plant Disease Detection

- Farming Calendar

- Q&A (NLP/Chat)

- Market Analysis

Input: Soil type, Climate, Location

Process: ML Model (Crop Classifier)

Output: Recommended crops list

Optional: Link to Market Analysis

- ML Model (Crop Classifier)

- Soil/Crop/Climate DB

- Market DB

Input: Upload plant photo

Process: CNN Model

Output: Disease name, Treatment, Vendor links

- CNN Model

- Disease DB

- Vendor API

Input: Crop, Location

Process: Rule engine / ML model

Output: Weekly plan, lifecycle, water/fertilizer schedule

- Rule engine / ML model

- Crop lifecycle DB

- Weather integration

Input: User question (text/voice)

Process: Embedding, Vector DB, LLM

Output: Answer (text/voice), Translation

- NLP/LLM (Mistral, GPT)

- Vector DB (FAISS)

- Translation + TTS

Input: Crop name or location

Process: Demand/supply data, trend prediction

Output: Price suggestion, trend chart, post for sale

- Market API

- ML regression model

- Price listing engine