Published Paper Details:

Teachers in rural India face challenges like limited access to quality materials, heavy workloads, and language barriers. This paper presents Shiksha Sahaayak, an AI-powered Learning and Teaching Assistant designed to improve teaching in lowresource classrooms. The system has three modules: an Automatic Worksheet and Presentation Generator that creates curriculumbased materials using NLP and Large Language Models; a Multilingual Voice Assistant and Chatbot that offers real-time support in English, Hindi, and Marathi; and a Visual Attendance Tracker that uses computer vision and facial recognition for participation analysis. Built with Django, OpenCV, and HuggingFace APIs, the platform aims to lessen teacher workload, raise instructional quality, and promote inclusive education. This conceptual study highlights the design framework, the technologies used, and the expected impact, supporting future large-scale deployment in line with India's National Education Policy (NEP) 2020.