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I have been thinking about if it's a feasible to have an app in which users check's in when they get into a bus. They give the bus stop information when they check-in and when the check-out. This can be used to predict bus timings and generate close enough real-time approximation. I'm not sure if this is already done, but if enough people check-in and check-out u can also determine the amount of people in a bus and determine which bus to maybe miss because of too much crowd.

In US public transit is probably not used as much as in other countries, so it might not be so useful in bay area as such. What do people think?

I'm looking for certain nosql recommendations which I can examine for our data set. Data is coming in the form of geographical system. It has lattitude and longitude and timestamp component. Also there are more dimensions also but right now I would first want to look at spatio-temporal component. Looking for suggestions which have decent documentation and support.

Two of us are looking at having a startup house with a few more folks who would like to build stuff and have lots of fun in the summer. If anybody is looking for people to join them in a house, we can do that too.

We are going to be working in Mountain View and Palo Alto so we are hoping to find people for these locations.

For my data mining project this semester at school, I was hoping to work on something besides the UCI repository dataset. Yelp seems a pretty good option, but would like to know if there are any more such options available.