Juhi Checker

I hold a Bachelor's degree in Computer Engineering, University of Mumbai. Currently, I am a graduate student at Santa Clara University, CA, pursuing MS in Computer Science. You can check out various Artificial Intelligence projects I have worked on below.

Publications

Projects

Bringing Old Photos Back to Life

Recreating results of the paper "Bringing Old Photos Back to Life" by implementing VAE, Pix2pix and CycleGAN.

Abstract: Photos are taken to freeze the happy moments that otherwise are gone. Old photo prints deteriorate when kept in poor environmental condition, which causes the valuable photo content to be permanently damaged. The paper, “Bringing old photos back to life”, proposes to restore old photos that suffer from severe degradation through a deep learning approach. The domain gap between synthetic images and real old photos makes the network fail to generalize. This paper proposes a novel triplet domain translation network by leveraging real photos along with massive synthetic image pairs. It trains two variational autoencoders (VAEs) to respectively transform old photos and clean photos into two latent spaces. This translation generalizes well to real photos because the domain gap is closed in the compact latent space. In our project, we make an attempt to implement this paper in order to restore the old images. In addition to this, implementation of other deep learning architectures such as Pix2Pix and CycleGAN is done for further analysis.

Performance of JP2 compression on semantic segmentation of PolSAR images

Understanding impact of Jpeg and JP2 compression on DNN classification performance

Abstract: Future PolSAR missions are expected to collect vast quantities of data, which can significantly add to the storage cost of various geo-spatial cloud driven applications. Data compression techniques like those prescribed by the JPEG2000 (JP2) standard might help counteract this cost. However, it is important to measure the impact on target application performance due to these techniques. In this paper, the impact of JP2 and JPEG compression on classification performance of PolSAR data is studied and it has been found that com-pression has no significant impact on Deep Neural Network (DNN) classification performance.

Career Recommendation

Based on their academic, personality, extra-curricular, etc predicting job roles to the upcoming graduates students using ANN

Abstract: There is a trend amongst students to generally opt for career paths based on either the choices of their colleagues or the highest salary paying roles. They fail to know their strengths and choose their career randomly which leads to frustration and demoralization. Moreover, while recruiting the candidates, recruiters need to assess them in all different aspects. Thus, there is a need for a system that helps students decide a job role that is best suited for him/her which is based on his/her skillset and other evaluation metrics which is now possible due to advancements in the field of deep learning. This paper proposes an automated system using Artificial Neural Network which considers the personality traits of the individual along with personal interests and academics to predict which computer science job role would be best suited for them.

Plant leaf disease detection

Developing convolutional neural network models to perform plant leaf disease identification and diagnosis using simple leaf images of healthy and diseased plants, through deep learning methodologies

Abstract: In our project, we developed convolutional neural network models to perform plant disease identification and diagnosis using simple leaf images of healthy and diseased plants, through deep learning methodologies. Training of the models was performed with the use of an open database of 56000 images of different plants , which included both diseased as well as healthy plants. Several model architectures were trained, with the best performance reaching a 99.7% success rate in identifying the corresponding disease in the plant. The significantly high success rate makes the model a very useful advisory and an approach that could be further expanded to support an integrated plant disease identification system to operate in real cultivation conditions.

Social Work

I believe in giving back to the society and get involved in social service events.

1 / 5

Teaching underprivdge students

2 / 5

Computer lessons to young girls

3 / 5

Sessions on Female Health

4 / 5

Walk for freedom

5 / 5

Beach clean up

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