
I'm a Computer Science Undergraduate and interested in Computer Vision. I try to build some real-world applications using ML and DL.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Newsdose
April 7, 2023 – April 7, 2023
Newdoseis a simple web application built with React that allows users to view top headlines from various news sources. It uses the NewsAPI to fetch the news data and display it in a user-friendly manner. The app allows users to switch between different news categories
View ProjectAIPlanet-HackathonX
April 2, 2023 – April 12, 2023
Introducing HackathonX: a web platform for hosting/participating in hackathons. Hosts can create/post hackathons, manage entries; participants can enroll/submit code. Simple and efficient. Join us now!
View Projectmern-login-signup
October 20, 2022 – October 20, 2022
mern-login-signup — GitHub repository
View ProjectAuthApi
February 24, 2022 – February 24, 2022
This project provides a set of REST API endpoints and HTML interface for registration, authentication , password reset, retrieve JWT token on successful login .
View Projectdjango-chatroom
December 23, 2021 – December 23, 2021
django-chatroom — GitHub repository
View ProjectExercise-with-OpenCV
August 20, 2020 – October 1, 2020
A super fun game you can play to exercise using your webcam !!!
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal development and exploration across various technologies (Go, Python, JavaScript). While there's a focus on web development, the diversity of backend projects (Go, Python) suggests a broad interest rather than a deep specialization in frontend. This breadth could indicate adaptability but also a potential lack of focused experience for a dedicated senior frontend role. The 'HackathonX' project suggests an interest in collaborative environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.