This project builds an AI-powered system to check CMMI compliance. It analyzes business documents, cross-checks development work in Jira and GitLab, and generates clear reports to ensure all tasks meet CMMI standards.

Organizations often face challenges in ensuring CMMI compliance and identifying document loopholes during audits or project evaluations. Manual review processes are time-consuming, error-prone, and lack traceability. There’s a need for an intelligent system that automates document analysis, detects non-compliance, and integrates seamlessly with JIRA for issue tracking.

* Runs automated AI/NLP analysis to extract requirements, identify gaps/loopholes, and suggest fixes

* Integrates with JIRA to fetch, map, and update tickets

* Provides an interactive review UI (checklists, assign-to-JIRA, status updates)

* Exposes dashboards for audit scores, trends, and compliance metrics

* Automate document analysis using AI/ML for compliance detection.

* Ensure CMMI standard compliance through structured audit reports.

* Provide a seamless JIRA integration for ticket and project management.

* Offer real-time dashboards for compliance trends and project insights.

* Maintain 97%+ accuracy through model fallback and feedback learning.

* User authentication and organization creation.

* Role-based access control (Admin, Owner, Auditor, User).

* Document upload (PDF, DOCX, TXT) and classification.

* AI-based analysis of documents for loopholes and compliance.

* Integration with multiple AI models (GPT-4o, Gemini, Hugging Face).

* JIRA API integration for project tracking.

* Real-time dashboard and visual analytics.

* Firebase integration for crash tracking and remote config.

* Achieve ≥97% accuracy in document classification and analysis.

* Seamless integration between backend and AI model services.

* Low-latency data processing and scalable architecture.

* User-friendly and responsive UI/UX.

* Organizations will provide the required JIRA credentials and permissions

* The primary language of the documents is English

* Users have access to modern web browsers

* Reasonable network bandwidth for uploads/downloads

* Dependent on internet connectivity for AI and JIRA integrations.

* Processing large documents may take longer based on file size.

* API rate limits for AI models (e.g., OpenAI API limits).

* Role-based Access Control (RBAC) for organization-level roles.



* Secured with JWT tokens

* Role-based endpoint access is defined via backend decorators.

* Role-based data visibility.