Kids Detection App Research Paper

Замовник: AI | Опубліковано: 26.09.2025

I have a project called Kids Detection App using YOLO, written in Python scripts. The app is designed for kids aged 3–5 as an alternative to traditional flashcards. I now want to create a research paper in IEEE format (Overleaf/LaTeX compatible) based on this project, which should be publishable. The paper should cover the following: 1. Title, Abstract, Keywords – Highlighting early education, YOLO-based object detection, and interactive learning. 2. Introduction – Problem statement (limitations of flashcards), need for interactive AI-based solutions for kids, and motivation. 3. Proposed System – Explanation of the YOLO-based detection app, architecture diagram, workflow (object detection + text-to-speech). 4. Features – Object detection & enunciation (“B for Bottle”) Alphabet learning through detection Color guesser (asks what color the object is) Quiz mode (interactive question–answer) 5. Implementation – Technical details of the Python scripts, libraries used, YOLO version, dataset (pre-trained/custom), text-to-speech integration. 6. Results and Evaluation – Accuracy, latency, FPS, comparison with flashcards or traditional methods. 7. Conclusion & Future Work – Benefits for kids’ education, possible improvements (multi-language support, mobile app version, dataset expansion). 8. References – Proper IEEE citation style. Deliverables: Complete IEEE format paper (Overleaf/LaTeX compatible .tex file + PDF). Diagrams/figures for architecture and workflow. Well-structured, polished, and ready for submission. I want publish so it should be publishable