| dc.contributor.author | Batool, MIsbah Reg # 65208 | |
| dc.contributor.author | Nadeem, Mariam Reg # 65279 | |
| dc.date.accessioned | 2026-07-09T05:54:28Z | |
| dc.date.available | 2026-07-09T05:54:28Z | |
| dc.date.issued | 2023 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/21406 | |
| dc.description | Supervised by Bilal Muhammad Iqbal | en_US |
| dc.description.abstract | In our day-to-day life power and fuel crisis is one of the major problems that we are facing now. In that case, renewable resources could be the best solution as it reduces the scarcity of electrical energy across the globe. It prevents producing atmospheric emissions. As the presence of renewable resources varies with climate and to gain the maximum energy we tend to integrate acoustic and both solar and wind energy. On account of implementing our system, Artificial Intelligence will penetrate allowing the personal space of IoT. Real-time insights into every asset and process. It is less dependable on fuel. Energy is considered to be one of the main drivers of economic and social development. By 2050, we will see a doubling of energy demand with the share of electricity increasing faster than the primary energy supply. The resource is not saves increasing but accelerating changes in policy, technological innovation, and user expectation are making ng energy market increasingly complex. For overcoming this problem we have to monitor and control the energy properly. This project creates a way of properly monitoring and controlling energy. The major advantages are cost- effectiveness and affordable installment. The application of this project is in the household, traffic control, and spitals. Every component of an industry should be controlled by that which may save components from blasting or damaging. This project the energies, so we can keep a safe world the next generation. So it is very significant to have a system that can ensure the proper consumption of energy and also can also keep control from anywhere | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Bahria University Karachi Campus | en_US |
| dc.relation.ispartofseries | BSCS;MFN BSCS 477 | |
| dc.title | IOT BASED SMART ACOUSTIC AND RENEWABLE ENERGY HARVESTING SYSTEM | en_US |
| dc.type | Project Reports | en_US |