Patent Number : 202441081764

Plantobo is a cutting-edge project that combines robotics, AI, and IoT to enable intelligent automation. It focuses on enhancing real-time decision-making and efficiency in various applications. The project aims to create smart, adaptive systems for improved performance and innovation.

Using Java

A Hotel Management System application using Java helps automate hotel operations like room booking, check-ins, check-outs, and billing. It includes features such as user management, real-time availability tracking, and automated invoicing. The system enhances efficiency, reduces manual work, and improves the guest experience.

Using Python and GUI

A Hospital Management System using Python with a GUI helps streamline hospital operations like patient registration, doctor appointments, billing, and medical records management. It features an intuitive graphical user interface (GUI) using Tkinter, PyQt, or Kivy for easy navigation. The system enhances efficiency, reduces paperwork, and improves patient care.

Using Machine Learning

A Personalized Health Recommendation System using Machine Learning analyzes user data like medical history, lifestyle, and vitals to provide tailored health suggestions. It leverages algorithms like decision trees, neural networks, and recommendation systems to offer diet, exercise, and medication advice. The system enhances preventive care and promotes healthier lifestyles.

Using Machine Learning

Smart Farming using Edge Networks is an advanced agricultural solution that leverages edge computing for real-time monitoring and decision-making. It integrates IoT sensors, AI, and distributed networks to optimize crop management, resource utilization, and predictive analytics. This system enhances efficiency, reduces latency, and improves sustainable farming practices.

Image Captioning using Deep Learning is a technique that combines computer vision and natural language processing to generate descriptive captions for images. It uses convolutional neural networks (CNNs) to extract visual features and recurrent neural networks (RNNs) or transformers to generate meaningful text. This technology is widely used in accessibility tools, content automation, and image-based search applications.