Executive
Summary
Classified
ads are still among the most popular methods of selling and purchasing used
items. However, there are often
discrepancies between sellers and buyers as to making a good deal. This program was created to aid buyers in
being able to identify good deals and thus saving time in their searches for
new cars.
The
basis of the program searches local classified car advertisements from the
popular website auto.yahoo.com based on a given ZIP code. The results of the query are then transfered
into an excel sheet and key information such as the year, miles and price of
the car are extracted. Customer criteria
such as make, model, and price range are taken into consideration. Listings that meet criteria and seem
generally seem like "good deals" will be marked as such colored into
one of three categories. The program
will also look for abnormalities in the listing, such as mistakes in mileage,
and warn users that a possible problem could exist in a certain listing and
further research will still need to be done for more accurate information on a
certain listing. Those listing that do
not meet customer criteria or generally seem like "bad deals" will be
noted as such in the program and colored and sorted for the user to be aware
of.
The
end goal has been to improve the experience for buyers of used cars and try to
quickly and visually determine if a car is a good deal. This program will aid in that process and may
even help sellers to create listings of higher quality.
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