Name: Koustav Mukherjee
Type: User
Company: University of Southern California (Graduate Student)
Bio: Full-stack application developer with 5+ years of industrial experience. Passionate competitive coder and a hackathon enthusiast.
Location: San Jose, CA, US
Koustav Mukherjee's Projects
A time controlled, adversarial search mini-max algorithm for obtaining maximum clusters, in a bubble shooter game
Basic Problems from Algorithms, Data Structures, Object Oriented Design, Operating Systems, Databases
A python code to solve the Eight Puzzle problem using BFS, DFS and A Star Search
Using first-order logic resolution algorithm to make inferences
Image similarity and search application
Information Retrieval USC CSCI 572 Assignments
koustav.info website hosting
Implementation of BFS, DFS and Simulated Annealing to solve the N + K Queens problem
Tika-Similarity uses the Tika-Python package (Python port of Apache Tika) to compute file similarity based on Metadata features.