Client: Reliance Energy Ltd.
Status: Implemented successfully / Operational
Technologies: J2EE (Jakarta Struts), MySql 5.0.2, php5
Framework/Architecture: 3-tier (MVC 2)

Description:
This system has been developed and implemented to support the process of data collection, management, extraction (in Standard format) and analysis (Projection etc.) for use in UPRE project which is the largest ever power distribution project in India.

Features:

• Localization
• Inventory Management
• Management of Technical Data (Substations, Transformers, Feeders etc.)
• Project scope Mgt. (Planning & Execution)
• System Administration
• Report Generation (MIS/DPR reports approved by REC)

Challenges:

• Usability: Robust system, but easy to use. Non-IT background of end-users came out as a challenge during development of user interface for the project.
• Scalability: Keeping in mind rapidly changing demands of the client, system was designed to ensure the future scope and utility with minimum overhead possible.
• Security: Security, consistency of data and access-control were major issues, which were judiciously solved by the project team without compromising usability and efficiency of the whole system.

Client: Reliance Energy Ltd.
Status: Implemented successfully / Operational
Technologies: J2EE (Jakarta Struts), MySql 5.0.2, php5
Framework/Architecture: 3-tier (MVC 2)

Description:
Augmentation of the previously described system was carried out to support maintenance of engineering quantity database (Estimate and As-Built) for generation of BOM and BOQ, for the purpose of use by EPC Deptt. in an ongoing project.

Features:

• Creation of Material Schedules
• Management of Supply and Erection Costs
• Management of BOQ and As-Built data
• Generation of cumulative BOQ at various localizations (To be distributed to subcontractors)
• Augmentation of user-management and access control modules

Challenges:
During this project the project team had to successfully develop and integrate modules with an existing system without compromising the stability of the system. System was designed to work with large volume of database.

Client:Airborne Component Repairs & Services Pvt. Ltd. (ACRS)
Status: Under Development
Framework/Architecture: Clustered Computing

Description:
The system has following proposed functionalities and components:

• Search-Engine
• Expert System to support Diagnosis
• NN-based Data-Mining Facility and Business Intelligence, capable of making inferences based on past decisions and trends

After being completed this system will be only one of it’s kind in the whole world. The system is projected to cut bulky maintenance and repairs bills and save valuable operational time. The system is self-learning and utilizes non-linear optimization algorithms.