Patient Memory is an AI-driven health companion designed to help healthcare providers access patient history efficiently. Using Qdrant’s vector database and semantic search, the system stores patient notes and retrieves relevant information based on natural language queries. Providers can ask questions about allergies, past visits, symptoms, or treatments, and the AI returns context-aware summaries with suggested follow-ups. This solution ensures that important patient data is never overlooked and reduces time spent manually searching through medical records. The project is deployed on Hugging Face Spaces for easy access, making it a practical tool for telemedicine or clinic workflows.
19 Nov 2025
Climate Policy Maker is an AI-powered platform designed to assist governments, NGOs, researchers, and local communities in creating actionable climate policies. The system integrates LLM APIs with real-time weather and climate APIs to analyze environmental conditions, predict short-term climate changes, and highlight potential hazards such as floods, droughts, heatwaves, or storms. Users can select any region worldwide and instantly receive data-driven climate forecasts, interactive maps, and hazard visualizations. Based on this information, the LLM generates tailored policy recommendations that address local environmental challenges, ensuring decisions are rooted in science and aligned with sustainability goals. One of the key features is the ability to export policies in a professional PDF format, making them suitable for official use by policymakers, universities, or climate organizations. Beyond policy creation, the tool can also be used for urban planning, disaster preparedness, climate education, and sustainability reporting. By combining AI, data visualization, and environmental science, Climate Policy Maker bridges the gap between raw climate data and practical, region-specific strategies to combat climate change.
24 Aug 2025
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