This project, developed by Team TOVSTOLOBKN during the "AI in Mriya" hackathon, aims to provide career guidance using artificial intelligence techniques. Utilizing a simple Feedforward Neural Network (FFN), it calculates RIASEC scores based on predefined questions sourced from various research studies (refer to the Acknowledgments section for details).
- Google Form: https://forms.gle/rbfjBneQG8V6XPwY8
pip install gspread oauth2client pandas scikit-learn torchTo initiate the project, begin by installing the necessary dependencies and cloning the repository. Additionally, you must configure your own Google Spreadsheet API key. Store your credentials.json file in a convenient location. Ensure that you update the path to the credentials within the Python notebook accordingly.
credentials_path = '../YourCredentialsPAth.json'Once set up, fill out the Google Form and execute the notebook to obtain results. An example of the results is shown below:
We acknowledge the contributions of the following sources from which we sourced questions for career prediction:
- Career Prediction System: https://github.com/hrugved06/Career-Prediction-System
- My Next Move: https://www.mynextmove.org/explore/ip
- OSF: https://osf.io/27rbh/
- Predict My Career: https://www.kaggle.com/code/umangaggarwal/predict-my-career