Noteflow AI
Kannammal K E1,Bharath Kumar M S2,Dharani Daran G3,Kavin Krishna S4,Kamali S5,Maajida A6
1 Professor, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, India
Email: hodcse@siet.ac.in
2 Student, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, India.
Email: bharathkumarms23cse@srishakthi.ac.in
3 Student, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, India.
Email: dharanidarang23cse@srishakthi.ac.in
4 Student, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, India.
Email: kavinkrishnas23cse@srishakthi.ac.in
5 Student, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, India.
Email: kamalis23cse@srishakthi.ac.in
6 Student, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, India.
Email: maajidaa23cse@srishakthi.ac.in
ABSTRACT
NoteFlow AI is an intelligent note management and study companion application designed to simplify learning through automated organization and AI-powered assistance. The platform enables students to manage diverse academic materials— including documents, presentations, PDFs, and multimedia content like YouTube links—within a unified digital library. Built using modern frameworks and integrated with powerful AI models such as Gemini and Vertex AI, NoteFlow AI intelligently classifies study files into subjectbased folders, eliminating the need for manual sorting. Beyond organization, it enhances revision efficiency by generating concise summaries, short notes, and multiple-choice questions (MCQs) directly from user materials. A contextual chat interface allows users to ask questions and receive accurate, document-based responses using Retrieval-Augmented Generation (RAG) techniques. Prioritizing privacy and performance, NoteFlow AI processes data securely while offering a seamless and interactive learning experience. Altogether, it transforms unstructured study content into a personalized, accessible, and intelligent learning ecosystem.
Keywords: AI study assistant, intelligent note management, automated organization, document summarization, MCQ generation, contextual Q&A, Gemini integration, RAG model, privacy-focused learning, personalized study app.
