This project proposal aims to solve map-reduce problems using a distributed cluster of web browsers instead of dedicated servers. It proposes making web browsers thin clients that can perform computations in the background without requiring installation. The server would divide problems and assign parts to browser clients. This could utilize unused computational resources of personal systems and bandwidth. Key challenges include implementing map-reduce algorithms across clients and server, optimization strategies, and handling failures. The technology could allow large-scale information mining by delegating intensive tasks to client browsers without companies needing additional hardware.