Project 1 Proposal - SuYehTarn/CS651_PhotoPostAdvisor GitHub Wiki

Photo Post Advisor

This Facebook application would analyze the photos selected from a particular page of the user using Google Computer Vision,it also gathers information such as likes count and comments count for each photo and generate a report to user in form of two tabs 1)Categories and 2) Photos

Categories Tab: It contains all the photos which fall into this category and cumulative score of all photos.

Photos tab: It contains the score of each photo which is obtained based on number of likes and comment.

With the help of this analysis, user can decide on which photo to upload next time

Application Workflow

  1. Fetch user photos and store to Google data storage.
  2. Fetch user photos related information such as likes count.
  3. Analyze the stored photo and return the labels.
  4. Analyze the relation between the labels and the photo information.
    • Provide a score for each photo.
    • Provide a list of categories for the posted photos together with the score.
  5. Present the analysis result to the user.

Mock Up UI Screen

  1. Login page as FB app front page.

  2. Presenting page.

    • A tab page for listing scores for each photo.

    • A tab page for the analysis of all categories.

Actual UI Screen

  1. Login page as FB app front page.
  2. Presenting page.
    • A tab page for listing scores for each photo.
    • A tab page for the analysis of all categories.