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COVID19-Probability-Estimator
April 16, 2020 – April 15, 2020
This repository is for the research of COVID19 Probabilistic Analysis with respect to the symptoms. 👨🏻⚕️
View ProjectCovid-19-Early-detection
April 10, 2020 – November 22, 2022
The Web application is deployed at
View ProjectBrain-Hemorrhage-detection-in-CT-imaging
March 20, 2020 – April 2, 2020
Brain-Hemorrhage-detection-in-CT-imaging — GitHub repository
View ProjectRestAPI
March 19, 2020 – January 4, 2022
The project contains a API implemented with flask to convert docx file to pdf
View ProjectFlutter-Workshop
January 16, 2020 – January 16, 2020
Flutter-Workshop — GitHub repository
View ProjectSocket-Programming-using-Java
May 29, 2019 – June 10, 2019
Socket-Programming-using-Java — GitHub repository
View ProjectDrowsiness-detection-and-alert-system-DDAS-
November 9, 2018 – November 9, 2018
Drowsiness detection and alert system(DDAS) is an electronic device for the safety of the people who travel and drive. Nowadays there are several types of sensors and navigation systems available in the market for safe driving. One mistake of the driver can lead to severe damages or physical injuries, deaths and significant economic losses. The idea of developing such a device arises from several aspects concerning about the safety of the people and economic losses. There are various reasons especially human errors which gives rises to the road accidents. The recent reports say that there is a huge increment in the road accidents in every country since the last few years. The main reason occurring from the highway accidents is the drowsiness and sleepiness of driver while driving. The long route drivers can sometimes asleep while driving, which is dangerous for everyone with him. It is a necessary step to come with an efficient technique to detect drowsiness as soon as the driver feels
View ProjectUdemy-Python3-BootCamp-Practice-Problems
July 2, 2018 – July 6, 2018
Udemy-Python3-BootCamp-Practice-Problems — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, particularly in Python and machine learning, with some exposure to web development and a single Flutter project. While this demonstrates initiative and a learning mindset, the breadth of technologies directly relevant to a senior Mobile Developer role (beyond Flutter/Dart) is limited. The projects are diverse in topic but lack depth in mobile-specific architecture, design patterns, or large-scale application development. This suggests a potential fit for a learning-oriented environment but may require significant ramp-up for a senior mobile role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are functional but do not provide insight into collaboration, problem-solving approaches, or communication style.