AI-assisted data submission analysis system for the Mandatory Energy Efficiency Labelling Scheme (MEELS)

I&T Solution	AI-assisted data submission analysis system for the Mandatory Energy Efficiency Labelling Scheme (MEELS) (REF: S-2102)
Trial Project
Solution Feature	Adaptive Multi-Format Document Intelligence Engine Multilingual Handwritten Text Recognition Module Image Enhancement and Robust Stamp/Signature Detection Synthetic Data Generation and Active Self-Learning Framework Hybrid Verification and Cross-Validation Orchestrator
Trial Application and Expected Outcome	The trained AI model(s) shall accurately interpret and extract data from diverse documents, including laboratory reports and handwritten forms. Modular OCR engine shall support multi-process handling, automated certificate verification, chop/signature detection and cross-page checks for compliance. Develop user-friendly web interface for vetting workflow and dashboard for EMSD administrative analysis and reporting. System shall achieve 95%+ overall accuracy, with over 98% for critical parameters to minimize manual intervention. System shall seamlessly interface with existing EMSD systems and databases for data retrieval and comparison.
Additional Solution Information	Green AI_MEELS_AI_Solution_v2 1.pdf
Info on I&T Solution Provider	Solution Provider : Green AI Technology Limited Address : Room 503, 5/F, Building 19W, Contact Person : Dennis Mak Position : CEO Tel : 96295360 Email : dennis@greenaitech.com Webpage : https://www.greenaitech.com

For details of the above I&T solution, please contact the I&T solution provider.