Pinned Repositories
ADIS
AIML_Lab
aiml_termworks
Artificial-Intelligence-and-Machine-Learning-Laboratory-18CSL67
Artificial Intelligence and Machine Learning Laboratory (18CSL67) 6th Semester CSE
BINGO_Project
The Bingo game using java swings
Bingo_tinygame
ChatBotScratch
A very introductory and beginner level attempt to make a CHATBOT that responds to certain ruled questions.
Compiler-Design-Project
FTP
IEEE_GIT-Website-Contest-Hackbagpackers
Official website contest for IEEE-GIT
GP-Kulam's Repositories
GP-Kulam/FTP
GP-Kulam/IEEE_GIT-Website-Contest-Hackbagpackers
Official website contest for IEEE-GIT
GP-Kulam/ADIS
GP-Kulam/AIML_Lab
GP-Kulam/aiml_termworks
GP-Kulam/Artificial-Intelligence-and-Machine-Learning-Laboratory-18CSL67
Artificial Intelligence and Machine Learning Laboratory (18CSL67) 6th Semester CSE
GP-Kulam/BINGO_Project
The Bingo game using java swings
GP-Kulam/Bingo_tinygame
GP-Kulam/ChatBotScratch
A very introductory and beginner level attempt to make a CHATBOT that responds to certain ruled questions.
GP-Kulam/Compiler-Design-Project
GP-Kulam/link-manager
GP-Kulam/GP-Kulam.github.io
My portfolio
GP-Kulam/HTML_CSS
Assignment from Akrivis-Solutions
GP-Kulam/it-cert-automation-practice
Google IT Automation with Python Professional Certificate - Practice files
GP-Kulam/Javascript
Assignment from Akrivis-Solutions
GP-Kulam/NLP_Resume_Categorization
GP-Kulam/np_lab
GP-Kulam/NP_OBA2
GP-Kulam/Pig-game
GP-Kulam/Prototypes
prototypes of webs and mobile apps
GP-Kulam/React-Hello-World
GP-Kulam/Resume-Job-Description-Matching
The purpose of this project was to defeat the current Application Tracking System used by most of the organization to filter out resumes. In order to achieve this goal I had to come up with a universal score which can help the applicant understand the current status of the match. The following steps were undertaken for this project 1) Job Descriptions were collected from Glass Door Web Site using Selenium as other scrappers failed 2) PDF resume parsing using PDF Miner 3) Creating a vector representation of each Job Description - Used word2Vec to create the vector in 300-dimensional vector space with each document represented as a list of word vectors 4) Given each word its required weights to counter few Job Description specific words to be dealt with - Used TFIDF score to get the word weights. 5) Important skill related words were given higher weights and overall mean of each Job description was obtained using the product for word vector and its TFIDF scores 6) Cosine Similarity was used get the similarities of the Job Description and the Resume 7) Various Natural Language Processing Techniques were identified to suggest on the improvements in the resume that could help increase the match score
GP-Kulam/sd-lab-project-group_2_sd_lab_5th_sem_hackbagpackers
sd-lab-project-group_2_sd_lab_5th_sem_hackbagpackers created by GitHub Classroom
GP-Kulam/slr-py
A simple SLR parser using python
GP-Kulam/spec
The score specification file
GP-Kulam/Statastical_Analysis_With_Python_WS
GP-Kulam/Tic-tac-toe-game