Due to the rise and rapid growth of E commerce the use ATM cards has drastically increased which caused an explosion in the ATM card frauds. In real life fraudulent transaction are scattered with genuine transactions Hence simple pattern matching techniques, for instance Personal Identification Number(PIN) are not enough to detect these frauds accurately. Implementation of efficient fraud detection system has become imperative to reduce people loss. Our project aims to prevent the use of ATM cards without the authorization of owner or card holder. At present the card can be accessed if the PIN is known. The amount withdrawn or transferred is notified by the card holder only after complete transaction .Hence the process can't be retrieved. But the project intimates the card owner before the transaction begins even if the PIN is known. This is limited only to card transaction and not to online mode. Hence the verification can be extended to online process.

In this paper we are proposing a GUI based Prototype for user centered environment like class room, library hall, laboratory, meeting hall, coffee shop, kitchen, living room and bedroom, which recommends useful services based on the user’s context. Service recommendation is mainly based on parameters such as user, location, time, day and mood. Inaddition whenever the conflict arises among different users it will be resolved using some conflict resolving algorithms. The motivation behind the proposed work is to improve the user satisfaction level and to improve the social relationship between user and devices The prototype contains simulated sensors which are used to capture the raw context information, which is then described with meaningful English sentence and services are recommended based on user’s situation. The proposed conflict resolving algorithms are Rule based algorithm, Bayesian probability based algorithm and Rough set theory based algorithm. The amount of conflicts resolved by these algorithms is also analyzed at the end.