SnapLoc is a product that does automatic image classification and spatio-temporal analysis in order to recommend the places of interest in a new city. The packages that I have used for creating the product are Python(Pandas, NumPy, Shapely, Keras, Leaflet) and TensorFlow
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
data
notebooks
snaploc
README.md

README.md

SnapLoc

SnapLoc — Personalized recommender for Points of Interest in a city

SNAPLOC is a product that I have created as a final project of a data science bootcamp, Metis. It does automatic picture classification and spatio temporal analysis in order to recommend the places of interest for traveling in a new city. I have been a traveler to a new city and felt a need to know about the most interesting places to explore near me and have looked at photos of other people and said I want to go there to capture this beautiful picture of bear in dawn, if feasible.

Folder named Code contains three files:

  1. Flickr_getimages - Code to download geo-tagged images and it's metadata from Flickr
  2. Image_Classification - Code to do the VGG classification of images
  3. Spatial_clustering - Code for doing spatial clustering using DBSCAN and the cluster visualization & ranking.

Folder named Data contains metadata of images downloaded for San Francisco from Flickr as well as tables created for analysis of clusters of images formed.