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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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Issue: May 2024
Volume 9 | Issue 5
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| Paper Title: | Drug traceability in healthcare |
| Authors Name: | Arigela Pranay kumar , B Venkateswarlu , Charan Sai Paritala , Dindar Pranav Sai |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_217553
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| Published Paper Id: | IJNRD2404222 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | The Drug Traceability System is a web-based application developed using the Django framework, designed to enhance the traceability and transparency of pharmaceutical supply chains. In a state like Telangana which is aiming to be a leading pharmacy supply chain to the world it is essential to put quality control and preventing fake medicines business should be a high priority, It also provides an easy way to report fake medicines by the general user .The System comprises modules for users, manufacturers, suppliers, and administrators ,each contributing to the efficient management of drug manufacturing, distribution, and oversight .Presently fake medicine supply is one of a major issues and it can lead to several health hazards this system aims to solve this problem by centralizing the data about the manufacturing of medicines and under the regular inspection of medicines by the government or by the public we can easily identify fake medicines that are being supplied into the market and if irregularity or side effects of a medicine are observed we can easily identify the manufacturer and supplier of the medicine, Our web Application helps In easily managing Inventory between different stake Holders and also provide users and testers easy way to submit their data and by using Machine learning algorithms identify real and fake medicines and provide a easy way for the user to Check the data regarding their own medicines. |
| Keywords: | Django, Framework, Stake Holders, SVM, KNN, XGBoost |
| Cite Article: | "Drug traceability in healthcare", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.b956-b961, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404222.pdf |
| Downloads: | 00051 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2404222 Registration ID: 217553 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: b956-b961 Country: Hyderabad, Telengana, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404222 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404222 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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