Integrate Recommendation Engine & Streamlit App (T3) #67
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Deleted unwanted files p-alpha & lambda
update client and Server T3
Anurag-commits
Origin/team bhavitha graphrec
modified the ui
updated dashboard
added Homepage and fixed dashboard routing
updated the ui-home page
Standard Nmaing of buttons
changed the ui using bootstrap
Team bhavitha graphrec
committed fronted files
Team bhavitha graphrec
updated frontend for Interactive recommendation (Dhruv)
…7/cps into team-bhavitha-graphrec
updated playground page ui
…eam-bhavitha-graphrec
Team bhavitha graphrec
Assignment Feature
updated assignmment page
rectified explore topic
changed bg of topic
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Added finalized recommendation engine and learner profiles for 50 learners.
Changes:
recommendation_engine.py: Path recommendation logic using Dijkstra.learner_profiles.json: Expanded dataset with 50 diverse learners.app.py: Streamlit app to interactively show recommendations.team-bhavitha-dsarecommender/folder.This completes T3’s integration for graph-based recommender.