yeye lopez@yesid_leonardo_lpez_sierra882
yesid_leonardo_lpez_sierra882
🤓 Latest Submissions
Polypharmacy App
Inspired by the growing challenge of polypharmacy, particularly among the elderly and those managing multiple health conditions, Medivise is designed to reduce the risk of adverse drug reactions (ADRs), which are a leading cause of hospital admissions and healthcare complications. Recognizing that over 40% of older adults in the U.S. take five or more medications, our app aims to provide a vital service by ensuring that all medications are managed safely and effectively, thereby decreasing the potential for harmful interactions and improving overall healthcare outcomes. Here you can find the key features: 1. Add Medications Easily: Quickly add medications by snapping a photo of your medication labels with your smartphone. Our OCR technology will automatically extract the text and fill in your medication details, simplifying the creation of your medication list. 2. Check Drug-Drug Interactions: Ensure your safety by checking for potential drug interactions within the app. Whether you consult saved medications or enter new ones, Medivise helps you identify harmful drug combinations. 3. Monitor Food Interactions: Stay informed about how certain foods may affect your medications. Medivise offers comprehensive details on food-drug interactions to help maintain an optimal diet that supports your treatment. 4. Automated Health Reports: Generate detailed health reports automatically, including all your medication information in a PDF format. Share these reports with your doctor to enhance discussions during your medical appointments.
3 May 2024
Study Buddy App
Study Buddy is an innovative iOS application designed to enhance the studying experience for students. It leverages the power of large language models (LLMs) and is anchored on a robust tech stack. The backend is fully deployed on Google Cloud Platform (GCP), utilizing a combination of advanced models including Cloud Vision for OCR, Palm for natural language processing tasks, and Google Cloud Text to Speech. The application integrates Zilliz with Milvus as a Vector Database, ensuring efficient data handling and retrieval. The performance and accuracy of these models are continuously evaluated and monitored using Trulens. The mobile application, developed in Swift, is tailored for seamless interaction with these backend services. This integration allows the app to offer unique functionalities: Q&A with Course Content: This feature enables students to query any image or PDF in their course materials. By leveraging the Vision and Text models, the app can interpret and analyze the content, providing immediate and accurate answers directly from the study resources. Effortless Flashcard Creation: Utilizing the application's advanced text understanding capabilities, students can instantly convert sections of their course materials into custom flashcards. This allows for efficient and targeted studying, making the process of memorization and revision more effective. Quiz Image Solver: This innovative function allows students to snap a picture of a questionnaire or exam. The app then uses its Vision model to recognize and interpret the questions, and cross-references with the uploaded course materials to provide accurate answers for each question. And as a bonus for all the main features, Study Buddy offers text-to-speach functionalities.
11 Dec 2023
