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APPLIED-MACHINE-LEARNING
February 4, 2022 – April 20, 2022
APPLIED-MACHINE-LEARNING — GitHub repository
View ProjectNEURAL-NETWORK--GENDER-AGE-DETECTION
November 27, 2021 – December 1, 2021
In this Project, we will use Deep Learning to identify the gender and age range of a person from a single image of a face from the Adience dataset. Depending on the input image gender and age range will be given as an output. We reimplemented existing architecture to achieve better results compared with other published papers. Also, we have added the capability to output the age and gender for real live stream images using laptop webcam using OpenCV.
View ProjectAGE_GENDER_DATASET
November 21, 2021 – November 22, 2021
AGE_GENDER_DATASET — GitHub repository
View ProjectNN-ASSIGNMENT-1
September 9, 2021 – September 9, 2021
NN-ASSIGNMENT-1 — GitHub repository
View ProjectIdentifying-Reproducible-Research-Using-Human-in-the-loop-Machine-Learning
September 3, 2021 – September 3, 2021
Identifying-Reproducible-Research-Using-Human-in-the-loop-Machine-Learning — GitHub repository
View ProjectIndoor-Vertical-Farming
September 3, 2021 – January 27, 2022
Based on research on hydroponic systems and environmental effects associated with plant growth, we are working to configure a system which satisfies lighting, watering, Image Capturing and environmental effects.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a strong interest in self-directed learning and exploration within data science. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or broader cultural fit. The projects align with a Data Scientist role, but the breadth of technologies and problem domains is somewhat limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a focus on technical implementation.