AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Cricket-Activity-Recognition
November 17, 2018 – January 5, 2019
A repository for Cricket Activity Recognition
View ProjectJamunaMailer
October 22, 2018 – October 22, 2018
App to notify students when they have parcels in the security desk
View Projectfast-cv
September 7, 2018 – November 13, 2018
Parallelized Video Processing implementations using OpenCV in Python, ffmpeg
View ProjectDebugging-TensorFlow-Programs
July 23, 2018 – July 29, 2018
How to systematically debug tensorflow programs?
View ProjectME5017-Numerical-Methods
February 5, 2018 – February 5, 2018
Repository for codes of ME5017, Numerical Methods in Thermal Engineering, IIT Madras
View ProjectOpenCV-Exercises
February 24, 2017 – July 4, 2017
A set of exercises to help you get started on OpenCV
View ProjectVAE
February 5, 2017 – March 5, 2017
A simple variational autoencoder to generate images from MNIST. Implemented in TensorFlow.
View ProjectUbuntu-Setup-Scripts
January 10, 2017 – Present
Scripts to help you set up your Ubuntu quickly, especially if you're in any subfield of Data Science or AI!
View ProjectOCR-Handwritten-Text
October 14, 2016 – February 4, 2017
OCR on NIST Special Datbase 19 using Tensorflow
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of projects, from AI/ML to system setup scripts, suggests a broad interest in technology. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.