Utilizing Generative AI for pro-active controls in the banking sector• Created a sample dataset for marketing miscommunication cases• Utilized LLM, Rag, and NLP techniques to extract key details from the unstructured data• Compared the data using rule-based matching to identify any discrepancies

Automated the network claims process to streamline operations and enhance efficiency.• Digitized documents through OCR models, extracting text from PDFs• Evaluated and selected the suitable OCR model, focusing on performance and compatibility• Implemented pre-processing techniques to optimize the accuracy of the Tesseract model• Utilized open-source LLM models to transform unstructured data into structured data

• Used Computer Vision to improve Process Efficiency during Line clearance process• Achieved a 72% validation accuracy using the state-of-the-art YOLOv5 for object detection• Created an Object Detection Web App integrating the model and deployed it on Streamlit• Created a 300+ image dataset from scratch and annotated it by using makesense.ai software• Proposed an architecture to increase the efficiency by 60% for the line clearance process

• Designed a user-friendly portal for registration of Campus Ambassadors from colleges all over India• Developed an Online Quiz platform for conducting Chem-O-Philia competition with 1000+participations• Built a website using Django framework, MySQL, JavaScript and Bootstrap | 200K+ hits annually

• Organized various educational camps with the help of NGOs to villages in different parts of the country