OCR for Data Retrieval :An analysis and Machine Learning Application model for NGO social volunteering

With the increase in amount of information being made available in digital format, information retrieval is a challenging task. Currently there exists a gap between organizations, volunteers and NGOs for volunteering work. There has been an upsurge of NGOs, non-profit events and corresponding independent volunteers or organizations willing to interconnect especially during these pandemic times. There is a need to fill this gap and connect the stakeholders minimizing the emergency response times. This paper proposes a novel design and implementation of an OCR based application for Automated NGO connect using machine learning. Phases implemented include image de-noising, binarization, data extraction and data conversion. The framework integrates deep learning based Tesseract OCR with image processing module and Data visualization module. The proposed model can be extended to other application domains as well for research purposes.