Seema Patel
Papers
1
Total Citations
25
H-Index
1
About
Seema Patel is a researcher at the forefront of applying artificial intelligence to real-world environmental challenges, with a primary focus on sustainable waste management and smart urban infrastructure. Her most cited work, "AGDC: Automatic Garbage Detection and Collection" (2019, 25 citations), introduces a hygienic, cost-effective AI-driven system designed to tackle the escalating solid waste crisis in growing urban populations. By leveraging advanced algorithms for automatic garbage detection and collection, Patel's research directly addresses the inefficiencies of contemporaneous waste management methods, offering a scalable solution that improves sanitation and reduces human intervention. Her contributions stand out for their practical impact, merging computer vision and robotics to create smarter, cleaner cities. Patel's work has been recognized for its innovation in combining environmental sustainability with cutting-edge technology, making her a notable voice in the intersection of AI and ecological engineering. For students and researchers exploring how artificial intelligence can solve pressing global problems, Patel's research provides a compelling blueprint for turning computational theory into tangible, life-improving applications.
Research Focus
Key Achievements
Top Papers
- 1AGDC: Automatic Garbage Detection and Collection25 citations · 2019