2
1
developer
Serbia
1 year of experience
The Food&Drug app addresses a critical problem in healthcare, interactions between food and medication, by harnessing the power of artificial intelligence. The application uses Python, FastAPI, the LangChain library, and OpenAI's GPT-3 model to create personalized medical insights based on user inputs. By entering a specific medication, the system algorithmically generates up to five other types of drugs or products that could interact with it, and highlights possible side effects of such combinations. Our app not only enhances individual awareness of potentially dangerous drug interactions but also promotes better health outcomes and more informed discussions with healthcare providers. It provides a unique solution to managing complex medication regimens and understanding their potential interactions. Moreover, the app is designed to continuously evolve. We plan to connect it to a vector database to gather and store information from user queries and pharmaceutical companies' product websites. This will further enhance our system's ability to provide robust, customized recommendations, aiming to become a trusted, comprehensive medical reference tool. Future updates will also allow for multiple drug inputs, extended interaction lists, and personalized medication intake recommendations. Our vision is to empower healthcare consumers and providers alike with more accurate and convenient information, leading to smarter, safer ways of combining different medical products, and ultimately, improving overall health outcomes. The Food&Drug app represents a crucial tool for safer and more informed medication usage.
š„ 3 days to create your app š Join the hack in London, Tel Aviv and virtual on lablab.ai š¤ Build alone, or create your team on lablab.ai š Have the opportunity to go-to-market and grow your product on the monday app marketplace š Each team member must register individually. Please note that space is limited for our in-person hackathons. Spots will be allocated on a first-come, first-approved basis.