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Introduction to Quantum Computing and its Future Impact on Modern Cryptography

Tomato leaf diseases can quietly wreak havoc on crops, and by the time a farmer notices, it is often too late. That is why early and accurate detection matters so much. In this project, we have built an AI powered system that not only identifies diseases but also provides actionable guidance. We combine a ResNet50V2 based CNN to analyze leaf images with the Mistral 7B Large Language Model LLM , which turns the diagnosis into practical, actionable solutions. The CNN learns through advanced techniques like transfer learning and data augmentation, while the LLM, using Retrieval Augmented Generation RAG with FAISS, retrieves knowledge from agricultural resources to suggest treatments. Farmers interact with the system through a simple Streamlit interface, uploading leaf photos and receiving instant classification and step by step advice from an embedded chatbot. Tested on multiple tomato diseases, the system is highly accurate, user friendly, and designed to help farmers protect their crops and make smarter, more sustainable choices. Prajwal Lede | Samir Shende "Introduction to Quantum Computing and its Future Impact on Modern Cryptography" Published in International Journal of Trend in

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