Graph Based Personalized Education Pathway (GBPEP)

A knowledge graph based personalized education pathway generator.

Installation

• Clone the directory
• Open in in your preferred IDE
• Head over to the neo4j installation page and download it (current version is 5.26)
• The knowledge graph DB dump is /extras/neo4j.dump. Run the following commands to begin. [Documentation]

    neo4j-admin database load neo4j --overwrite-destination=true --from-path=./extras/
    neo4j start

• Use sudo for both commands if on linux.
• head over to the localhost neo4j browser page and login. [Default username : neo4j & password : neo4j ]
• go to the neo4j database and check if graph was loaded by running

    MATCH (N) RETURN N

• Go to dbOperations.py and update database credentials.
• Create a virtual env in the directory and run following commands

    source env/bin/activate
    pip install -r requirements.txt
    python3 app.py

• Install Node.js (https://nodejs.org/en/download) and make sure it is install correctly
• open terminal in frontend directory
• Run following commands in terminal one after another

    npm install
    npm run start

Contributing

• Don't push to main!
• If changes were made to db, update dump file with below command.

    neo4j stop
    neo4j-admin database dump neo4j --to-path=./extras/

TODO

• Improve Educational goals input webpage and switch to React
• Create webpage to display the Path produced(in json file) to the user
• Implement Content filtering for resource recommendation
• Complete database-autofill algorithm
• Improve accuracy of dataset by checking for accidental ',' instead of ';'
• imprive accuracy of algorithm by finetuning number of clusters and linkage(complete,single,average)