@juan_carlos_ortiz_drada569

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.

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