Finding that people wanted items but either splurged spent instead of thinking when they could best buy the item.

What it does

It identifies patterns in product trends and tells the user to either wait and purchase or purchase now at the best price.

How I built it

We built it using multiple platforms and put them all together on a website

Challenges I ran into

So many debugging issues and time.

Accomplishments that I'm proud of

Proud of the facts that we learned new technologies and skills to and got to experience with new technologies such as IBM's red node.

What I learned

I learned how to use the new technologies.

What's next for Cop-It

Integrate forms for refurbished and used items to increase environmental impact. Integrate machine learning techniques for more accurate results. Community Page for items that can’t be predicted. Helps people new to the area. Monitor user spending. Notify user when they shouldn’t spend money on an item. Break down time it will take customer to afford item based upon personal spending rate.

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