Automated patent novelty assessment system that uses AI agents to search patents and academic papers, evaluate novelty, and generate professional assessment reports.

Novelty Assessment System for Flask Framework-based MVC Projects in Python

YARA Decision Agent: Advanced research-oriented decision system implementing weighted multi-criteria analysis for innovation assessment. Features normalized scoring (novelty, research impact), constraint validation, and detailed reasoning. Perfect for academic project evaluation and research prioritization. Python/scikit-learn based.

An intelligent AI-powered system for evaluating Research & Development proposals using advanced machine learning, natural language processing, and financial analysis techniques. The system provides comprehensive evaluation across novelty, financial viability, and risk assessment criteria.

AI/ML-based system to automate evaluation of R&D proposals at NaCCER, CMPDI. It will analyze novelty, technical feasibility, and financial compliance using past project data. The tool ensures faster, unbiased, and standardized assessments, reducing manual effort and enhancing transparency in funding decisions.