The primary objective of the "SMART RESOURCE PLANNER USING CPSAT AND ILP WITH AI INTEGRATION" is to develop an intelligent system that optimizes the allocation and scheduling of educational resources such as departments, faculties, subjects, and academic years. The project aims to implement CPSAT and ILP algorithms to ensure efficient resource scheduling, minimizing conflicts and maximizing resource utilization. Additionally, the system will feature an intuitive, user-friendly interface with a Gemini AI-powered chatbot to assist administrators in managing resources and generating timetables. Blockchain technology, specifically using Ganache, will be integrated to securely store sensitive data, ensuring transparency and immutability of resource management records. The system will automate timetable generation and streamline the allocation process, reducing manual intervention. Furthermore, the platform will be designed to be scalable and flexible, capable of adapting to the needs of various educational institutions, from small colleges to large universities, providing a comprehensive and efficient solution for resource management.
The "SMART RESOURCE PLANNER USING CPSAT AND ILP WITH AI INTEGRATION" aims to revolutionize resource management in educational institutions by leveraging advanced optimization techniques and blockchain technology. The system integrates Constraint Programming-based SAT (CPSAT) and Integer Linear Programming (ILP) to intelligently allocate and schedule academic resources such as departments, subjects, faculties, and years. A key feature of this project is the Gemini AI-powered chatbot, which enhances user interaction by providing administrative assistance and real-time solutions. The platform allows administrators to manage departments, faculties, subjects, generate timetables, and access history logs. For enhanced data security and transparency, the system employs blockchain, specifically using Ganache, to store sensitive data in a decentralized and immutable ledger. This integration ensures that all system transactions, including resource management activities, are secure and auditable. The backend of the system is powered by Python and Django, with the frontend developed using HTML, CSS, and JavaScript. By combining optimization algorithms, AI, and blockchain, this system offers a seamless, secure, and efficient approach to managing educational resources.
Keywords:NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

H/W CONFIGURATION:
Processor - I3/Intel Processor
Hard Disk - 160GB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - SVGA
RAM - 8GB
S/W CONFIGURATION:
Operating System : Windows 7/8/10
Server side Script : HTML, CSS, Bootstrap & JS
Programming Language : Python
Libraries : Django
IDE/Workbench : VSCODE
Technology : Python 3.10+