Fameboost

Features:

Inspiration:

the reactions of Facebook

What it does:

tells which photo will gain the most attention

How we built it:

used machine learning to analyze Facebook photos and learned which tags make the most successful photos; the website outputs the best photo from a given set

Challenges we ran into:

ran out of memory, not enough time to debug the model, Django usage

Accomplishments that we're proud of:

the website gives some good predictions

What we learned:

team members should stay together and collaborate

What's next for Fameboost:

developing more sensitive features

Built With

• css
• django
• facebook
• github
• htm
• microsoft-api
• numpy
• python
• scikit-learn