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@article{157400,
        author = {Aditya P. Patil and Anurag D. Dubey and Rahul B. Yadav and Shailadh S. Shinde},
        title = {MedBudd App},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {6},
        pages = {816-819},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=157400},
        abstract = {We are here to solve one of the major problems in the world's highest growing and leading industry, The Pharmaceutical industry, Medical Representatives are the front-end working professionals in the sales department of the pharmaceutical industry, their job function is to give details about their products to chemists and medicinal stockists, they have been allotted a target from their respective companies which they have to achieve on monthly/quarterly and yearly basis.
 We have come up with a solution with an all-around solution to this problem. Our app will have modern features like photo-to-text conversion, automatic sales updates, live target details, quizzes, and interaction with the team. Furthermore, it will use OCR technology to read data which will reduce manual cost and time as well. It will also use Big Data Analysis that will help organizations to harness their data and use it to identify new opportunities. This, in turn, leads to smarter business decisions, more efficient operations, higher profits and more satisfied customers.},
        keywords = {OCR - Optical Character Recognition, Big Data, Pharmaceutical, Sales, Analytics, Medical Representative.},
        month = {},
        }