SCHOLAR is engineered as a centralized, collaborative platform that functions as an advanced orchestration engine for academic synthesis, leveraging NLP, LLMs, and Retrieval-Augmented Generation (RAG) to autonomously ingest heterogeneous documents and compile an authoritative, syllabus-aligned "Perfect Note". The core system architecture consists of a mobile-optimized interface built with Kotlin and Jetpack Compose, connecting to a FastAPI backend. The platform uses LangChain for AI orchestration, implementing map-reduce pipelines for semantic deduplication and hierarchical merging of content. Retrieval is managed via a hybrid network utilizing cloud-native Pinecone and on-device ObjectBox vector databases, ensuring low-latency, context-specific query answering and real-time tutoring grounded strictly in the uploaded academic materials.
Ayushmaan Singh Bundela (Tue,) studied this question.