Siddhant Bansal
Papers
1
Total Citations
25
H-Index
1
About
Siddhant Bansal is a researcher at the forefront of applying artificial intelligence to pressing environmental challenges, with a primary focus on intelligent waste management and sustainable urban systems. His most influential work, "AGDC: Automatic Garbage Detection and Collection" (2019, 25 citations), introduces a cost-effective, AI-driven solution that addresses the growing crisis of solid waste in rapidly urbanizing areas. By leveraging computer vision and machine learning algorithms, Bansal’s system automates the detection and collection of garbage, offering a hygienic alternative to traditional, labor-intensive methods. This contribution has been recognized as a pivotal step toward smart city infrastructure, demonstrating how AI can enhance both public health and environmental sustainability. Bansal’s research bridges the gap between theoretical artificial intelligence and real-world civic applications, earning him a reputation for developing practical, scalable technologies. His work continues to inspire further innovations in automated environmental monitoring, positioning him as a key voice in the intersection of AI and ecological stewardship.
Research Focus
Key Achievements
Top Papers
- 1AGDC: Automatic Garbage Detection and Collection25 citations · 2019