Sunitha Gandru

Seeking an organization that offers excellent opportunities to tackle new problems and technologies on a daily basis. Eager to enhance knowledge and skills while contributing to the growth and development of the company. Passionate about embracing challenges and becoming a valuable asset for the organization.

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Title:Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification*

- Developed and introduced RWC Net, a novel deep learning model for accurate classification of recyclable waste

- Utilized a combination of algorithms, including DenseNet, GoogleNet, MobileNetV2, and YOLO, to achieve high performance and efficiency

- Successfully demonstrated the effectiveness of RWC Net in classifying recyclable waste with high accuracy and reliability

- Contributed to the advancement of sustainable waste management practices through the application of AI and deep learning technologies