Spoken-Recommendation-System

1.created a project name-> 'dbase'
2.created an app name-> 'emp'
3.created template dir having 'base.html' file which will be the wrapper of our all html files
4.created make_index.html for homepage having signup and signin features
5.created student and employer sections
6.created company,jobs,students and applied jobs models
7.registered it in admin pannel 8.created groups 9.company and student profiles with image upload feature 10.forgot password feature using inbuilt auth views 11.job posting feature by company 12.added decorators and signals

cleaned the dataset having skills,job description as an important parameter

1.removed unimportant features 2.label encoders 3.added skills acc to job titles. 4.grouped only technical and developers job

created a notebook having idea to find similarity

1.between skill set and jobs requirements.
2.It has inbuilt sklearn functions as well as my own functions.
3.It has cosine similarity approach,jacard and distance based approach.
4.I assumed skills and job desc as important features.

Applied item-item similarity between job description and user skills (Basic model-1)

1.calculated jacard similarity
2.tfidf matrix
3.cosine similarity
4.top n job titles for student
5.using ERS_DATASET

django user authentication

1.used django built in user models,usercreation forms
2.created decorators to restrict the access of users
3.created two groups i.e students and employer
4.login and register templates