The high rates of unemployment in India can be battled by increasing the employability of people. The 20–24 age group is one of the largest groups of unemployed people, of which college graduates constitute a big portion. Colleges can drastically reduce the number of unemployed graduates by introducing courses and changing the curriculum to help develop the skills that employers look for in graduates. We built a system that helps in self analyzing the skill sets and your shortcomigs. It predicts whether a student with a given skill set would be able to secure a job or not. It uses not only technical skills but also takes into consideration other soft skills which are essential to land a job.

(back to top)

Through this app one can predict his or her oncampus and offcampus placemets . The app takes into consideration of Stream, backlogs, internships, location to predict oncampus placements. A student can also predict his/ her ability to get a role through offcampus. The model shows the job the candidate should apply onto based on his/ her skills and nature. Also one can get DSA practice resources and upcoming contests from here.

(back to top)

1. Frontend frameworks : Javascript, CSS, html

2. Authenciation : Firebase

3. Services : Netlify, Heroku

4. Deployment : FastAPI

5. ML Frameworks : Numpy, Pandas, seaborn, Sklearn, nltk, catbooster, matplotlib

Below is an example of how you can instruct your audience on installing and setting up your app. This project doesn't rely on any external dependencies or services.

1. Clone the repo

   git clone https://github.com/Drishti-jain21/HackFest-sheCodes

2. Now install all npm packages.

    npm i 
   
    pip install -r requirements.txt

3. After all steps defined above you can run /preview application at localhost:3000.

(back to top)

The main page of the web app

On-campus placement predictor

Off-campus placement predictor

Sign up page

Contact us