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

Nidhi Singh1 , Archana Mishra2 , Deepti Verma3 , Jyoti Yadav4 , Neha Agrawal5 , Rishabh Gupta6 , Rameshwar Gupta7*

doi:10.7492/121che93

Authors

Nidhi Singh1 , Archana Mishra2 , Deepti Verma3 , Jyoti Yadav4 , Neha Agrawal5 , Rishabh Gupta6 , Rameshwar Gupta7* Author

DOI:

https://doi.org/10.7492/121che93

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 self-directed technology-based
learning methods help India achieve its sustainability objectives through better waste management practices.