Inspiration
The idea for this project came from noticing how doctors in India still have to depend on many different and time-consuming sources to look up information about medicines. Even though healthcare generates a huge amount of data, this information is spread across textbooks, PDFs, websites, and pharmaceutical portals. During patient consultations, doctors often do not have enough time to search through all these sources to quickly find reliable details such as dosage, side effects, contraindications, or alternative drugs. On the patient side, many people leave clinics without fully understanding their prescriptions. This can lead to confusion about when and how to take medicines, poor adherence to treatment schedules, and sometimes even medication errors. While Artificial Intelligence has been successfully applied in many other fields, its use in day-to-day medical practice in India is still quite limited. This project was inspired by the idea of building a single intelligent platform that can help doctors access accurate and relevant drug information quickly, while also making prescriptions easier for patients to understand. By combining AI-based search with trusted medical sources, the platform aims to reduce inefficiencies in the current system, improve safety in prescribing, and make medical information clearer and more accessible for both doctors and patients.
What it does
The product we plan to build is an AI-powered web platform that helps doctors quickly find clear and reliable information about medicines while they are treating patients. Through a simple search or chatbot interface, doctors will be able to look up a drug and instantly see important details such as dosage, side effects, warnings, ingredients, price, and possible alternative medicines, along with references from trusted medical sources. The chatbot will also allow doctors to ask more specific questions, such as whether two drugs can be taken together or what medicine would be suitable for a patient with certain allergies or age-related restrictions. To make the system more practical for everyday use, the platform will include filters based on patient factors like age, allergies, and cost, so the information provided is safer and more relevant. It will also show medicine images, compare similar drugs, and, where possible, display nearby availability. In addition to helping doctors, the platform focuses on improving communication with patients by generating printable prescriptions and easy-to-follow medicine schedules. Overall, the product is meant to act as an intelligent assistant for doctors - not replacing their judgment, but supporting them with faster access to accurate information and helping make prescriptions clearer for patients.
How we built it
We plan to build the platform as a simple web application that is easy for doctors to use during consultations. The interface will be created using React and will include a search bar, chatbot, filters, and chat history. The backend will be developed using Node.js and REST APIs to manage requests and connect to trusted medical data sources. For the AI component, we will use a language model combined with a Retrieval Augmented Generation (RAG) approach through LangChain, so that answers are based on verified information and include citations. The system will be designed to handle both general and specific questions, such as drug interactions or patient-specific concerns, while also supporting features like prescription generation and medicine schedules.
