AIDE is an innovative AI-powered health assistant that bridges gaps in accessibility and guidance for medical care. Accessible through phone calls, AIDE evaluates symptoms, suggests over-the-counter remedies for minor conditions, and directs users to the nearest urgent care facility for severe symptoms. It leverages OpenAI’s real-time API, a curated medical knowledge base, and localized healthcare directories to deliver precise advice. Post-call, users receive a comprehensive PDF report summarizing key insights and actionable next steps. Designed for scalability, AIDE aims to expand into multilingual support, wearable device integration, and AI-driven preventive care to redefine how individuals manage their health globally.

Our AI project aims to empower researchers through AI to enhance their workflow, learn and takeaway insights from research papers in the fastest, easiest and best way possible. We want to synthesise full text content from papers for researchers to be able to learn from them better, and make research more insightful for them. Our gap analysis is based on an LLM and API call to NCBI to fetch the most recent articles to be used as context for gap analysis through the o1 model. Furthermore, we used the raw full texts from these articles for GraphRAG using neo4j and cypher. This was used in knowledge graph where we used the latest d3.js library to visualise this in an interactive manner, for better user experience and knowledge discovery.