Hello Priyanshu Sinha,
I had participated in imagine cup this year and prepared a similar project for it.
I believe my project matches all your requirements for now.
I would really be happy to work under your expert guidance and support to further enhance the project.
You can check out my fully working project along with herokuapp deployment:
Sometimes the web-app won’t load the first time, refreshing will work.
The project is based upon the following research papers:
1] X. Wang, Y. Peng, L. Lu, Z. Lu, M. Bagheri, R. M. Summers, Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases, in: IEEE CVPR,2017**
2]Hoo-chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, Ronald M. Summers, Learning to Read Chest X-Rays: Recurrent Neural CascadeModel for Automated Image Annotation, IEEE CVPR, pp. 2497-2506, 2016**"
I published a paper in IEEE conference this February, detailing how our approach was better than the above mentioned papers [in detecting some of the diseases]. We did data augmentation and hyperparameter tuning to achieve the goal.
I truly believe I can improve the model further, with better data cleaning and some more data scraping it would definitely be the finest model.
Please do suggest your thoughts, I would be glad to take your inputs and try to improve it.
The webapp is using a flask server and is hosted on herokuapp.
Please do reply,