Experience

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  Indianic infotech limited

  May 2023 - Jul 2023

  Internship trainee

  During my internship with the AI/ML team at IndiaNIC Infotech Limited:Developed an Object Counting Application for U.N. Mehta Civil Hospital, enabling rapid and accurate item count determination for over 5,000 inventory items (e.g., bed sheets, blankets) per month.Implemented the YOLOv8 model for object detection and segmentation, achieving 95% accuracy in item detection.Utilized OpenCV libraries to ensure precise item counting, reducing manual effort by 60% and saving approximately 50+ work hours monthly.Acquired hands-on experience in solving regression and classification problems, including successfully developing a classification model with 98% accuracy for identifying images.This role enhanced my expertise in machine learning, Python, and computer vision techniques, while also refining my communication, teamwork, and time management skills through collaborative project development. Show less

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  Indianic infotech limited

  Dec 2023 - May 2024

  Python developer intern

  Developed a cutting-edge Bank Cheque OCR project leveraging TROCR, achieving 95% accuracy in extracting data from handwritten cheques.Engineered three unique applications for the OCR product:- A comprehensive front-end and back-end solution.- A stand-alone back-end application.- An RPA-enabled application to automate cheque detection and processing.Utilized Django Rest Framework (DRF) to build all three applications, ensuring seamless integration, scalability, and robust functionality.Implemented TROCR for precise extraction of crucial cheque details, including date, amount, account information, payee details, IFSC code, and MICR data, achieving 99% accuracy for specific data points.Designed and implemented a well-structured MongoDB database architecture to efficiently store and manage the extracted information from the OCR system. Show less