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A project for the PennApps 2011 Fall hackathon. The project uses a naive-Bayes classifer to help students pick classes.
Ceasar/PCRTechSupport
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TODO: -Build some templates up, make them pretty. -Get recommendation engine working. -username AND password for superuser is ceasar. Create more if you want. PAGES: -localhost:8000/admin gets access to the admin -localhost:8000 is the index -localhost:8000/courses/NUM queries the API and return all of the object in the result tag. This should describe the course and have a few recommendations. -localhost:8000/semester/YEAR/SEMESTER/ where SEMESTER is in (F, S, or U) gets the logged in user's Semester object, which is a list of courses they took in that semester. A person must be logged in for this page to work. -localhost:8000/cart/ is not implemented yet at all, but would be a page like semester, except with a cart object. The templates for the pages are in front-end/templates. Read up on Django template syntax to build them out right. Do NOT edit regristation/login.html unless you get what's going on. Ideally, we should also have base.html for any style things that get repeated (ie, headers and footers). RECOMMENDATION: -Not sure how this should work exactly. I have a file app/recommendation.py with a recommend function that should be overwritten. Add arguments as needed (and modify the views as appropriate).
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A project for the PennApps 2011 Fall hackathon. The project uses a naive-Bayes classifer to help students pick classes.
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