Front-End Integration for Pig Detection App

🔗 AI in Agriculture Course - https://www.augmentedstartups.com/ai-in-agriculture-course App 13.6: Front-End Integration In this video, we bring together pig detection and a chatbot into a single Streamlit application, creating a user-friendly interface to detect pigs in images and ask questions about their care. 📌 What You’ll Learn: ✅ How to integrate object detection and chatbot scripts into one app. ✅ Setting up a Streamlit sidebar for image uploads and output visualization. ✅ Using a pre-trained Roboflow model for object detection. ✅ Enabling the chatbot to provide answers about pig care, such as health tips and social habits. 🎯 Features of the App: 📂 Drag-and-drop image uploads or file browsing. 🔍 Automated inference with bounding boxes and pig counts. 💬 Context-aware chatbot for answering pig care questions. 🚀 Real-World Applications: This app showcases how AI can modernize farming by providing a seamless way to track livestock and enhance animal care knowledge. 💬 Got questions or ideas for enhancements? Let us know in the comments! 🔔 Subscribe for more AI-driven solutions and tutorials. 🔗 Follow My Links: Facebook: https://www.facebook.com/AugmentedStartups/ LinkedIn: https://www.linkedin.com/in/riteshkanjee/ X: https://x.com/augmentstartups Whatsapp AI Community: https://chat.whatsapp.com/JTuIB3eEfDRGo0TL4RzqwB #StreamlitApp #PigDetection #AIinFarming #HuggingFaceChatbot #Roboflow #ObjectDetection #LivestockManagement