Agriculture chatbot using natural language processing(NLP) and artificial neural network(ANN).

AgriGenius is an intelligent chatbot designed to answer agriculture-related questions by fetching content from websites and PDFs, translating text using Google Translate, and leveraging a robust language model. This project uses Python, Flask, RAG, LLM, GENAI, API, LangChain, NLP for the backend, and HTML, CSS, and JavaScript for the frontend.

Agricultural-chatbot-using -NLP

An agriculture-focused chatbot developed with the use of natural language processing (NLP) and artificial neural networks (ANN).

AI chatbot providing instant answers to Indian farmers using government agricultural data and Groq LLM | Python, NLP, API Integration, Social Impact

A conversational chatbot designed to assist farmers with agricultural recommendations using Natural Language Processing (NLP). Published at IEEE ICAC3N 2021. Built with PHP, MySQL, and deployed on a LAMP stack.

A Rasa-Chatbot-For-Agriculture-Value-Of-Farmers to help the farmers using RASA-NLP framework

Agriculture chatbot using natural language processing(NLP) and artificial neural network(ANN).

Smart farming made easy 🌱 — An NLP chatbot that gives farmers instant agricultural advice and insights.

An agricultural chatbot made using NLP and Artificial Neural Network for farmers, to answer common farming queries related to crop patterns, fertilizers, weather conditions, etc.

Agriculture chatbot using natural language processing(NLP) and artificial neural network(ANN).

A retrieval-based chatbot for agriculture domain using NLP, FAISS, and Gradio.

Backend API for a production-level Agriculture Advisory Chatbot using NLP preprocessing, retrieval-augmented generation, and Google Search with Gemini summarization.

AI-powered chatbot that provides agricultural advice in Hausa and English using a knowledge-based NLP system built with Python and Flask.

A domain-specific AI chatbot for agriculture, providing intelligent responses on crops, soil health, pests, and sustainable farming using NLP and ML.

this chatbot work personal for "Sam Higginsbottom university of agriculture technologies and sciences" University & the skills that we use in this is "python, html, sql, nlp and more like chatterbot".

Developed an AI-powered Agricultural Chatbot using Python and NLP to assist farmers with crop guidance, pest control, and weather updates. Integrated voice interaction and real-time responses to enhance accessibility for rural users.

Developed an Agricultural Chatbot Voice Assistant using NLP techniques to assist farmers with real-time crop guidance, weather updates, and farming tips. Integrated voice recognition and natural language understanding to ensure regional language support and user-friendly interaction.

Developed **KrushiMitra**, an AI-powered chatbot using **Python** and **Firebase** to provide real-time agricultural guidance. Integrated **NLP** for accurate, multilingual support and **OpenWeather APIs** for live weather updates. Recognized for innovation with a **Design Patent** (in process), promoting sustainable agritech solutions.

TamilFarmBot is a chatbot that provides information about agriculture in Tamil Nadu. It uses NLP techniques with libraries like spaCy, NLTK, and scikit-learn to understand user queries related to farming, crops, weather, and government schemes, offering quick, relevant responses.

AgriGenius is an intelligent chatbot designed to answer agriculture-related questions by fetching content from websites and PDFs, translating text using Google Translate, and leveraging a robust language model. This project uses Python, Flask, RAG, LLM, GENAI, API, LangChain, NLP for the backend, and HTML, CSS, and JavaScript for the frontend.