AdoptIQ
Objective
The primary objective of this project is to design and develop AdoptIQ, a comprehensive platform that assesses the cloud computing and big data readiness of SMEs. Another key objective is to provide AI-powered, personalized recommendations based on assessment results, offering actionable strategies for improvement. The project also aims to enable historical tracking of assessment scores and recommendations, allowing SMEs to monitor their progress over time.
Abstract
This project introduces AdoptIQ, an innovative web-based platform designed to assist Small and Medium-sized Enterprises (SMEs) in assessing and enhancing their readiness for cloud computing and big data adoption. Leveraging a structured assessment methodology, AdoptIQ provides comprehensive insights into an SME's technological, organizational, and environmental preparedness. The platform offers detailed readiness scores across key areas and generates AI-powered, personalized recommendations to guide SMEs through their digital transformation journey. Users can track their assessment history, view tailored advice, and manage their profiles, while administrators maintain full control over user accounts and assessment content. Built with ReactJS for a dynamic frontend, Spring Boot for a robust backend, and MySQL for efficient data management, AdoptIQ ensures a scalable, accessible, and reliable solution for fostering cloud and big data adoption in the SME sector.
Keywords: Cloud Computing Adoption, Big Data Readiness, SME Digital Transformation, AI-Powered Recommendations, Business Assessment, Cloud Strategy.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
HARDWARE REQUIREMENTS:
· Processor: Intel i3 or higher
· RAM: 4GB minimum
· Hard Disk: 160GB minimum
SOFTWARE SYSTEM CONFIGURATION:
· Operating System: Windows 7/8/10
· Frontend: ReactJS
· Backend: Spring Boot with java
· Database: MySQL
· AI API: Gemini API for chatbot
· IDE: IntelliJ IDEA & VS Code
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