Transforming Waste Awareness through Aakri: An AI-Based Self-Directed Learning Approach for Sustainability

1. Nidhi Singh, 2. Archana Mishra, 3. Deepti Verma, 4. Jyoti Yadav, 5. Neha Agrawal, 6.Rishabh Gupta , 7. Rameshwar Gupta*

doi:10.7492/0gty5q73

Authors

1. Nidhi Singh, 2. Archana Mishra, 3. Deepti Verma, 4. Jyoti Yadav, 5. Neha Agrawal, 6.Rishabh Gupta , 7. Rameshwar Gupta* Author

DOI:

https://doi.org/10.7492/0gty5q73

Keywords:

AI-based educational technology, Sustainable waste management, Self-directed learning, Waste segregation, Interactive learning systems, Human–AI collaboration, Sustainability awareness, Environmental education, Digital learning platforms

Abstract

Sustainable development requires effective waste management systems that serve as essential foundations for urban areas experiencing rapid
population growth due to rising consumption levels. People struggle to learn proper waste disposal methods because several waste management
policies and community-based waste classification training programs have failed to achieve their educational objectives. This study introduces
Aakri, which operates with ReSustainability as its homegrown AI waste management training platform, enabling students to learn waste
management practices through their own learning processes. Through its human-AI system, Aakri provides interactive learning modules that
deliver short educational content that can be expanded to support more users. The platform uses advanced large language models to deliver
customized user feedback that helps users learn about waste segregation and decision-making techniques. Aakri produces educational materials
that meet users' needs to facilitate their learning processes. The platform provides users with continuous learning opportunities through its
waste scanning system, virtual sustainability metrics, and individualized learning interfaces.A user-centered approach was used to measure the
performance, user experience, and capacity of the platform to create user engagement. The study results demonstrate that Aakri improves users'
knowledge about sustainable waste management methods while providing them with a user-friendly interactive experience. The research
findings show how human expertise combined with AI systems creates educational solutions that can be made available to all users and
expanded to reach more people.This study investigates the operation of AI-powered educational technologies and demonstrates that selfdirected technology-based learning methods help India achieve its sustainability objectives through better waste management practices.

Author Biography

1. Nidhi Singh, 2. Archana Mishra, 3. Deepti Verma, 4. Jyoti Yadav, 5. Neha Agrawal, 6.Rishabh Gupta , 7. Rameshwar Gupta*

1. Research Scholar, Department of Lifelong Learning & Extension, CSJM University, Kanpur, U.P., India.

2. Assistant Professor, Department of Sociology, Mahila Mahavidyalaya P.G. College, CSJM University, Kanpur, U.P., India.

3. Research Scholar, Department of Sociology, Mahila Mahavidyalaya P.G. College, CSJM University, Kanpur, U.P., India.

4. Research Scholar, Department of Lifelong Learning & Extension, CSJM University, Kanpur, U.P., India.

5. Research Scholar, Department of Lifelong Learning & Extension, CSJM University, Kanpur, U.P., India.

6. Research Scholar, Department of Lifelong Learning & Extension, CSJM University, Kanpur, U.P., India.

7. Research Scholar, Department of Lifelong Learning & Extension, CSJM University, Kanpur, U.P., India.