MediHelp AIDriven Medication Information and Assistance

The rapid advancement of healthcare technologies has led to the development of AI-driven systems that assist with medication information and guidance. This project, MediHelp: AI-Driven Medication Information and Assistance, leverages the power of artificial intelligence to provide real-time, personalized medication assistance to users. The system employs YOLO v9, a state-of-the-art object detection algorithm, to identify medication-related information in images, and integrates a Gemini AI-powered chatbot for interactive medication-related queries. The project uses a dataset from Roboflow, containing various medication classes such as Anarex, Atenelol, Calcium, Lozarsin, and Paracetamol. The system uses YOLO v9 for efficient image recognition, while the Gemini AI chatbot enhances user interaction by delivering accurate, context-aware responses based on the medication data. This approach aims to streamline the process of medication assistance, improving user experience, and making healthcare information more accessible. The AI models are trained using Python, TensorFlow, and Roboflow, with a focus on real-time medication information and assistance. By combining deep learning and natural language processing, the project explores innovative ways to provide AI-driven support for medication management.

Keywords: AI-Driven Assistance, YOLO v9, Gemini AI, Roboflow Dataset, Medication Information, Image Recognition, Chatbot, Deep Learning, Natural Language Processing, Healthcare, Medication Management, Real-Time Assistance.