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Classification_using_Deep_Learning_Networks
November 8, 2017 – April 14, 2020
Classification_using_Deep_Learning_Networks — GitHub repository
View ProjectBird-Watcher-Web-App
September 7, 2017 – September 25, 2017
Technologies used: Python 2.7.12, CGI, tensorflow (Neural Net), numpy, mediaWIKI API, MySQL, Caltech-UCSD CUB 2011 extended dataset Description: A deep learning based classifer used for detecting species of the bird whose image is passed in a POST request. Further extracts a brief information about the bird like its appearance, dimensions and locations.
View ProjectBirdViewWebApp
September 6, 2017 – March 13, 2018
Computer Vision - Bird Recognition Tool
View ProjectSteganographer-Tool
August 9, 2017 – September 28, 2017
Hide and extract plaintext from images
View ProjectCultural Fit Analysis
The candidate's projects demonstrate an interest in diverse technical areas, including deep learning, computer vision, and basic web development. However, the projects are primarily personal and lack details on team collaboration or real-world application, making a comprehensive cultural fit assessment difficult. The target role is 'Frontend Developer', but the projects lean heavily towards backend/data science with only basic frontend technologies mentioned.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.