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

1
H-Index
1
Papers
25
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
AGDC: Automatic Garbage Detection and Collection
25 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago