Restaurant Clustering
Text Recognition
FourSquare Mapping
WordCloud
TwoFLips
Resume Builder
Utilizing FourSquare-APIs to collect the Restaurant data in Mumbai Region in the radius of 1500 meters. Grouping the Restaurant into different clusters using K-Means Clustering Algorithm.
Using OpenCV and Tesseract OCR to process an image to detect the text embedded in the image. The text generated is then passed through the IBM Text-to-Speech service to generate and audio file of the image generated.
Leveraging FourSquare APIs to visualise nearby places on a Map on the basis of Search Query and Grouping the venues on the basis of their category by making API calls.
The python script uses word cloud python library to visualise a text file to represent an image consisting of the words in the text file displayed on the basis of the frequency in the text file.
A short matching game made on pygame.At any time the screen will display at most two tiles that are recent. If both the flipped tiles are matched then a message Matched!! is displayed and the game continues on this fashion.
Using GUI to take the input from the user and then parsing it to generate script resume in pdf format.