Future Upgrades for the Pig Detection App | Enhancing AI Capabilities

🔗 AI in Agriculture Course - https://www.augmentedstartups.com/ai-in-agriculture-course App 13.7: Potential Enhancements and Future Work In this video, we explore potential enhancements for our combined pig detection and chatbot application. While the app is functional, there's significant room to improve both the object detection model and the chatbot's capabilities, as well as expand its usability in real-world scenarios. 📌 Key Takeaways: ✅ The Roboflow pig counting model was trained on a limited dataset (381 images), leaving room for improved accuracy with more diverse data. ✅ Enhancing the chatbot by expanding its knowledge base or training it on pig care-specific information could improve response quality. ✅ Real-time integration, such as monitoring via live video feeds, would modernize the application for practical use on farms. 💡 Future Enhancements: 📈 Fine-tuning the detection model with a larger, more balanced dataset. 🧠 Training the chatbot with detailed veterinary and pig care knowledge. 📹 Incorporating real-time video feeds for continuous livestock monitoring. 🚀 Next Steps: Our app is just the beginning! With these enhancements, it could revolutionize livestock management by offering precise tracking and actionable insights. 💬 Got ideas or suggestions for further improvements? Let us know in the comments! 🔔 Subscribe for more innovative AI projects 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 #AIinFarming #PigDetection #Streamlit #Roboflow #HuggingFaceChatbot #LivestockTech #ObjectDetection