The problem Job Dekho solves

To provide a user-friendly platform for job seekers to efficiently search for jobs based on their skills, experience, qualification and domain they want to work in.
The core aim of our project is to simplify the process of job search for the users and give personalized recommendations based on the input provided by the user.

Challenges we ran into

1. Searching for an appropriate and accurate dataset to train the machine learning model: We combined some of the data from Kaggle with the dataset created by performing web scraping.
2. Identifying the most accurate algorithm for training the model: The two algorithms tested are Logistic Regression and Naïve Bayes, among which Logistic Regression has the highest accuracy.
3. Integration of the backend with frontend.