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Fin Guard AI : Smart Finance Tracker & Expense Predictor

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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 13 Issue: 03 | Mar 2026 www.irjet.net p-ISSN: 2395-0072

Fin Guard AI : Smart Finance Tracker & Expense Predictor

Priti Dudhe1 , Akanksha Gulhane2 , Suyog Gawande3 ,Vrushabh Chopade4 , Avinash Dabherao5

¹Department of Information Technology, PRMIT&R, Badnera, Amravati, India

²Department of Information Technology, PRMIT&R, Badnera, Amravati, India

³Department of Information Technology, PRMIT&R, Badnera, Amravati, India

⁴Department of Information Technology, PRMIT&R, Badnera, Amravati, India

⁵Department of Information Technology, PRMIT&R, Badnera, Amravati, India

Abstract - Managing personal finances is a common challenge for students and young individuals due to limited income and unplanned expenses. Many existing finance management applications mainly focus on recording transactions but do not provide proper financial analysis or intelligent suggestions. Because of this, users often find it difficult to understandtheir spendinghabitsandmanagetheir savings effectively. To solve this problem, this paper presents FinTrack: Smart Finance Tracker with AI Insights, a simple and intelligent finance management system that helps users track income, expenses, and savings in an organized way. The system allows users to categorize expenses, monitor their balance, set financial goals, andreceiveoverspendingalerts.It also provides graphical reports such aspiechartstohelpusers understand their spending patterns easily. In addition, the system includes an AI-based assistant that analyzes financial data and provides useful financial suggestions and budgeting advice. The system is developed using HTML, CSS, and JavaScript for the frontend, Python for backend and AI processing, and SQL for database management. The main objective of this system is to help users manage their money more efficiently and develop better financial planning habits.

Key Words : Artificial Intelligence, Personal Finance Management, Expense Tracking, Financial Insights, AI Chat Assistant, Smart Budgeting, Expense Analysis

1. INTRODUCTION

In today’s digital world, managing personal finances has becomeanimportantskill,especiallyforstudentsandyoung individuals who often have limited income and multiple expenses. Many people spend money on daily needs, entertainment, education, and online services, but they rarelykeepproperrecordsoftheirfinancialactivities.Asa result,itbecomesdifficulttounderstandspendingpatterns, controlunnecessaryexpenses,andachievefinancialgoals. Poor financial management can lead to overspending and lackofsavings,whichaffectslong-termfinancialstability. With the growth of financial technology, several digital applicationshavebeendevelopedtohelpindividualstrack theirexpensesandmanagetheirmoney.Theseapplications generally allow users to record transactions, categorize expenses,andviewsimplereports.However,manyexisting systems only provide basic financial tracking and lack intelligent features that help users analyze their financial

behavior.Theydonotofferpersonalizedsuggestions,goalbased financial planning, or intelligent insights that can guideuserstowardbetterfinancialdecisions.Thiscreatesa need for a smarter financial management system that can notonlytrackexpensesbutalsoanalyzefinancialdataand providemeaningfulrecommendations.

ArtificialIntelligence(AI)hasrecentlybecomeanimportant technologyinmanyfields,includingfinance.AIcananalyze large amounts of data, identify patterns, and generate insights that help users make informed decisions. By integratingAIwithpersonalfinancemanagementsystems,it is possible to develop smarter tools that help users understand their spending behavior and improve their financialhabits.

To address these challenges, this research proposes FinTrack:SmartFinanceTrackerwithAIInsights,asystem designedtohelpusersmonitor,analyze,andmanagetheir personal finances more effectively. The proposed system enables users to record their income and expenses, categorize transactions, and maintain financial records similartoasimpleaccountingsystem.Inadditiontobasic finance tracking, the system allows users to set financial goalsandtracktheirprogresstowardachievingthem.

The system also uses Artificial Intelligence to analyze spending patterns, detect overspending in specific categories,andprovidepersonalizedfinancialsuggestions. Furthermore,theapplicationpresentsfinancialdatathrough chartsandgraphicalreports,whichmakeiteasierforusers tounderstandtheirspendingbehavior.Thesystemmayalso providebasicinsightsrelatedtoinvestmentoptionssuchas stocksandSIPstoencouragebetterfinancialplanning.

The FinTrack system is developed using HTML, CSS, and JavaScript for the frontend interface, Python for backend processing and AI-based analysis, and SQL for database management. By combining finance tracking, goal management, AI insights, and data visualization, the proposedsystemaimstoimprovefinancialawarenessand supportbetterfinancialdecision-making.

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 13 Issue: 03 | Mar 2026 www.irjet.net p-ISSN: 2395-0072

2. LITERATURE REVIEW

[1] Yahyaa et al., introduced SmartSave AI, a goal-based personal finance management tool designed to help users manage their money more effectively. The system allows userstorecordtheirincome,trackexpenses,andsetsavings goalsthroughasimpleandeasy-to-useinterfacedeveloped usingPythonandStreamlit.Oneofthemainfeaturesofthe systemisitsabilitytoautomaticallycategorizeexpensesand analyze spending behavior. Based on this analysis, the platformprovidesbudgetsuggestionsinnaturalandeasy-tounderstandlanguage,whichhelpsusersplantheirfinances moreefficiently.Thesystemalsohelpsusersidentifytheir spending patterns and improve their savings habits over time.Duringevaluation,usersreportedbetterawarenessof theirfinancialactivitiesandfounditeasiertomanagetheir expensesandsavings.However,thesystemmainlyfocuses onexpensetrackingandgoalmanagement,whileadvanced financialanalyticsandbroaderfinancialplanningfeatures arenotfullyexplored.

[2]Wangetal., presentedanAIFinanceTrackerdesignedto help individuals manage their personal finances more effectively through intelligent analysis and personalized recommendations. The proposed system aims to simplify financial decision-making by providing users with clear insights into their spending habits and financial behavior. The platform analyzes user financial data using Artificial Intelligence and machine learning techniques to generate personalized budgeting advice and strategic financial recommendations.Italsopredictsfuturespendingpatterns basedonhistorical financial data,helpingusersplantheir financesmore efficientlyandmaintainlong-termfinancial stability. By offering customized suggestions and easy-tounderstandinsights,thesystemencouragesuserstodevelop better financial habits and make informed financial decisions. However, the study mainly focuses on personalized budgeting and spending analysis, while advancedfinancialplanningfeaturesandbroaderfinancial investmentinsightsarenotextensivelyexplored.

[3]Dadheetal., presentedasystemtitledSmartFinancial Insights: AI-Driven Financial Insights for Next-Generation Financial Forecasting, which focuses on improving stock market prediction using modern technologies such as ArtificialIntelligence,MachineLearning,andblockchain.The study highlights that traditional statistical models often struggle to capture the complex behavior of financial markets.Toovercomethislimitation,theauthorsdeveloped anAI-basedpredictionsystemthatanalyzeshistoricalstock marketdatausingmachinelearningalgorithms.Thesystem alsoincorporatessentimentanalysisoffinancialnewsand social media to better understand market trends and improve prediction accuracy. In addition, blockchain technologyisusedtosecurelystorefinancial data andAIgenerated predictions, ensuring transparency and preventingdatamanipulation.Theplatformprovidesauser-

friendly dashboard that allows users to visualize stock market data and perform interactive financial analysis in real time. Although the proposed system improves prediction accuracy and data security, challenges such as dataprivacy,computationalefficiency,andmarketvolatility stillremainimportantareasforfutureresearch.

[4] Saini et al., studied AI-Powered Personal Finance ManagementApplicationsthatuseartificialintelligenceto improve budgeting and financial planning. The system analyzes user spending patterns and provides AI-based insightstohelpusersmanagetheirfinancesmoreeffectively. Theseinsightsassistusersinallocatingresourcesproperly, maintaining financial discipline, and making better investmentdecisions.However,thestudymainlyfocuseson budgeting support and basic financial guidance, while advanced predictive financial analytics are not deeply explored.

[5] Brilliantov and Mandrikova et al., explored Smart BudgetingwithAI,focusingonhowartificialintelligencecan improvepersonalfinancemanagement.Thestudyexplains that AI can convert simple financial tracking into an intelligent system that actively guides users in managing theirmoney.Byanalyzingfinancialdata,thesystemprovides AI-driven insights that help users make better budgeting decisionsandimprovetheiroverallfinancialoutcomes.The researchshowsthatAI-basedbudgetingtoolscansupport users in understanding their financial habits and making more effective financial plans. However, further improvementsareneededtoenhancepredictionaccuracy andexpandadvancedfinancialanalysisfeatures.

[6] Katy et al., discussed AI-Powered Personal Finance Management: Transforming Budgeting and Savings in the Digital Age. The study highlights how modern finance applicationsuseArtificialIntelligencetechnologiessuchas machinelearning,predictiveanalytics,andnaturallanguage processing to improve personal financial management. Thesetechnologieshelpprovidereal-timefinancialinsights, detectspendingpatterns,andassistusersinbudgetingand saving more effectively. The research emphasizes that AIbased finance tools can support better financial decisionmakingandimprovefinancialawarenessamongusers.

[7]Agarwaletal., proposedanAI-PoweredPersonalFinance Assistantdesignedtoenhancefinancialliteracyandpersonal financialmanagement.Thesystemaddressesthelimitations oftraditionalfinancetoolsthatrelyonstaticbudgetingand lack personalization. By using Artificial Intelligence, the proposedassistantanalyzesuserfinancialdataandprovides personalizedinsightsalongwithacomprehensivefinancial overview. The study demonstrates that AI-based financial assistantscanhelpusersbetterunderstandtheirfinancial behaviorandmakemoreinformedfinancialdecisions.

[8]Bashsharetal.,presentedArtificialIntelligence-Driven Personal Finance Solution, which focuses on improving

Volume: 13 Issue: 03 | Mar 2026 www.irjet.net p-ISSN: 2395-0072

personalfinancemanagementthroughtheuseofArtificial Intelligence technologies. The study explains that many individuals face difficulties in manually tracking their income, expenses, and savings, which often leads to poor financial planning and limited financial awareness. Traditionalfinancialtoolsmainlyrelyonmanualdataentry andstaticbudgetingmethods,makingitdifficultforusersto clearlyunderstandtheirfinancialbehavior.Toaddressthis issue, the proposed system uses AI techniques to analyze financial data and provide real-time insights along with predictivefinancialanalysis.Thesystemhelpsusersmonitor their spending patterns, manage budgets more efficiently, and receive intelligent financial suggestions for better decision-making. The research highlights that AI-driven finance solutions can make financial management more efficient,user-friendly,andhelpfulformaintaininglong-term financialstability.

[9] Challoumis et al., examined how Artificial Intelligence canenhancefinancialliteracyandimprovepersonalmoney management.ThestudyexplainsthatAI-drivenbudgeting and expense tracking tools can analyze large amounts of financialdatatoprovideusefulinsightsintoanindividual’s spending behavior. These intelligent systems help users understandtheirfinancialhabits,planbudgetseffectively, and make better financial decisions. The research also highlightsthatAI-poweredfinancialplatformscansupport users in developing stronger financial awareness and improving long-term financial stability by offering personalized recommendations and automated financial analysis.

[10] Davitaia et al., discussed Intelligent Finance: The Evolution and Impact of AI-Driven Advisory Services in FinTech, focusing on how Artificial Intelligence is transformingfinancialadvisoryservices.Thestudyexplains thatAIsystemscananalyzelargevolumesofbothstructured and unstructured financial data to generate meaningful insights and support better financial decision-making. By using advanced data analysis techniques, AI-driven platformscanunderstanduserbehavior,financialpatterns, and individual financial goals. Based on this analysis, the systems provide personalized financial advice tailored to eachuser’sfinancialprofile.TheresearchhighlightsthatAIbased advisory services help individuals and investors manage their finances more effectively by offering datadrivenrecommendations,improvingfinancialplanning,and supportingsmarterinvestmentandbudgetingdecisions.The study concludes that the integration of AI in financial services is playing an important role in improving the efficiency, accuracy, and accessibility of financial advisory systems.

3. METHODOLOGY

The proposed system is an AI-based smart finance tracking platform developed using Python for backend

processing,HTML,CSS,andJavaScriptfortheuserinterface, andMySQLfordatabasemanagement.Thesystembeginsby allowing users to register and securely log in, after which they can access a personalized financial dashboard. Users can record their income and daily expenses by entering transaction details such as amount, category, date, and description. All financial data is securely stored in the database and processed by the system to generate summaries of total income, total expenses, and current balance.The platform includes a dashboard module that provides a clear overview of the user’s financial status through summarized information and recent transaction history.Agoaltrackingmoduleallowsuserstosetfinancial goalssuchassavingforacar,house,orpersonalexpenses. Users can enter a target amount and update their savings progress, while the system automatically calculates the completionpercentageandremainingamount.

Additionally,thesystemanalyzesstoredfinancialdatato identify spending patterns and generate smart financial insights,helpingusersunderstandtheirspendingbehavior andimprovetheirmoneymanagement.Theapplicationalso providesorganizedfinancialrecordsandreportsthatallow userstomonitortheirexpensesandplanbudgetseffectively. Theentiresystemisdesignedtoprovideasimple,intelligent, andsecureplatformformanagingpersonalfinancesthrough automatedtracking,dataanalysis,anduser-friendlydigital interaction.

FLOW CHART

Fig. 1 shows the flowchart of system

Volume: 13 Issue: 03 | Mar 2026 www.irjet.net p-ISSN: 2395-0072

4. WORKING

Thesystembeginswiththeregistrationmodule,wherenew userscreateanaccount byproviding basicdetailssuchas name, email, and password. After successful registration, users can securely access the system through the login module,whichverifiestheircredentialsandredirectsthem totheirpersonalizedfinancialdashboard.

The dashboard displays important financial information suchastotalincome,totalexpenses,savings,andthecurrent balance,allowinguserstoquicklyunderstandtheiroverall financial status. Users can add their income and daily expensesbyenteringdetailssuchasamount,category,and date.Whenevera newtransactionisrecorded,thesystem automaticallyupdatestheexpenserecords,savingsamount, andremainingbalance.

Allfinancialtransactionsaresecurelystoredinthedatabase, andthedashboardcontinuouslyupdatestoreflectthelatest financial data. The system also includes a goal tracker module,whereuserscansetfinancialgoalssuchassaving moneyforpersonalneedsorfutureinvestments.Userscan enteratargetamountandtracktheirsavingsprogress,while thesystemcalculatesthepercentageofgoalcompletion.

In addition, the platform provides Stock and SIP tracking features that allow users to record and monitor their investment activities. Users can add details of their stock investmentsandsystematicinvestmentplans(SIP),andthe systemhelpsthemkeeptrackoftheirinvestmentgrowth. Overall, the system integrates expense tracking, savings management,goalplanning,andinvestmentmonitoringinto asingleplatform.Bypresentingfinancialdatainaclearand organizeddashboard,thesystemhelpsusersmanagetheir financesefficientlyandmakeinformedfinancialdecisions.

5. SYSTEM REQUIREMENT

Software Requirements

➢ Python(BackendDevelopment)

➢ HTML,CSS,JavaScript(FrontendDevelopment)

➢ WebBrowser(MicrosoftEdge/GoogleChrome)

➢ MySQLDatabaseServer

➢ CodeEditor(PyCharm/VisualStudioCode)

Libraries Used

➢ Flask–UsedasalightweightPythonwebframeworkto developthebackendoftheapplicationandmanage routingbetweenpages.

➢ Flask-MySQLdb–Usedtoconnecttheapplicationwith theMySQLdatabaseforstoringandretrievingfinancial transactiondata.

5. IMPLEMENTATION AND RESULT

Step 1: Register to the portal

dashboard

3 Show a Registration Page

This module allows new users to create an account in the system.Theuserentersbasicdetailssuchasname,emailID, andpasswordintheregistrationform.Thesystemvalidates theenteredinformationtoensurethatallrequiredfieldsare filledcorrectly.Aftersuccessfulvalidation,theuserdatais securelystoredintheMySQLdatabase.Oncetheregistration processiscompleted,theusercanproceedtotheloginpage to access the FinTrack platform and use its financial managementfeatures.

Step 2: Login Page

Fig. 4 shows login page

Fig. 2 shows the main
Fig.

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 13 Issue: 03 | Mar 2026 www.irjet.net p-ISSN: 2395-0072

Afterregistration,userscanloginbyenteringcorresponding emailidandpassword.

Step 3: How it work

5 Working

Thedashboardgivesusersaclearviewoftheirfinancesby showingtotalincome,expenses,andcurrentbalance.Italso highlights recent transactions and goal progress, helping usersquicklyunderstandtheirfinancialsituation.

Step 4: Add Expenses

Fig. 7 Add Transaction

The Add Transaction feature allows users to enter details suchasdescription,amount,type(incomeorexpense),and category. After submission, the information is sent to the backend and stored in the database. The system then updates the transaction records and dashboard, helping userseasilytracktheirincomeandexpenses.

ThePieChartisusedtovisuallyrepresentthedistributionof expensesacrossdifferentcategories.Itfetchestransaction datafromthedatabaseanddisplaysitinagraphicalformat, making it easier for users to understand their spending patterns. This visualization helps users quickly identify whichcategoriesconsumethemostoftheirbudget

Step 5: Stock and SIP :

Fig. 9 Stock and SIP

This module helps users keep track of their stock investments and SIP (Systematic Investment Plans) in an easy way. Users can add details such as the investment name, amount invested, and date. The system stores this informationinthedatabaseandshowsitonthedashboard, allowinguserstomonitortheirinvestmentactivitiesalong withtheiroverallfinancialmanagement.

Fig.
Fig. 6 shows Dashboard
Fig. 8: Expense Distribution Pie Chart

Volume: 13 Issue: 03 | Mar 2026 www.irjet.net p-ISSN: 2395-0072

Step 6: Goal Tracker

Fig. 10 Goal Tracker

This module allows users to set and track their financial goals. Users can enter details such as goal name, target amount, saved amount, and target date. The system automaticallycalculatesthepercentageofgoalcompletion and displays the progress, helping users understand how closetheyaretoachievingtheirfinancialgoal.

Srep 7: Accounting

Fig. 11: Accounting and Financial Records Interface

This module helps users manage and track financial transactions between individuals. The user enters the customernameandmobilenumber,afterwhichthesystem displays all transactions related to that person. It shows detailssuchaswhopaidwhom,theamounttransferred,and the transaction date. This helps users easily keep track of money given or received and maintain clear financial records.

The AI Finance Chat Assistant provides a conversational interfacethatallowsuserstoaskfinance-relatedquestions within the application. It helps users understand their spending patterns, budgeting strategies, and general financialmanagementqueries.Theassistantusesartificial intelligence and natural language processing to generate responsesandguideuserswithusefulfinancialinformation, makingthesystemmoreinteractiveanduser-friendly.

RESULT

The FinTrack – Smart Finance Tracker with AI Insights systemwassuccessfullydevelopedandtestedtoevaluateits ability to manage personal financial data and provide intelligentinsights.Thesystemallowsuserstoregister,log in securely, and record their daily income and expenses throughasimpleweb-basedinterface.

Duringtesting,thesystemsuccessfullystoreduserfinancial data in the MySQL database and processed it using the backenddevelopedinPython.Theapplicationwasableto categorizeexpensessuchasfood,travel,shopping,andbills, allowinguserstoeasilytrackwheretheirmoneywasbeing spent.

TheAI-basedanalysismoduleprocessedhistoricalfinancial dataandgeneratedusefulinsightssuchasidentifyinghigh spending categories, calculating monthly expenses, and suggestingbetterbudgetingpractices.Theseinsightshelped users understand their spending habits and encouraged betterfinancialplanning.

Thedashboardsuccessfullydisplayedfinancialsummaries usinggraphicalrepresentationssuchaschartsandspending statistics. This visualization helped users quickly analyze theirfinancialactivitieswithoutmanuallycalculatingtotals. Performance testing showed that the system handled multiple expense entries efficiently and updated financial summaries in real time. The results indicate that the proposedsystemimprovesfinancialawarenessandprovides aneasywayforuserstomonitorandmanagetheirpersonal finances.

Overall, the implementation of the FinTrack system demonstrates that integrating expense tracking with AIbased analysis can significantly enhance financial managementandhelpusersmakebetterfinancialdecisions.

6. CONCLUSIONS AND FUTURE SCOPE

The FinTrack – Smart Finance Tracker with AI Insights system was developed to make personal finance management easier and more organized for users. Many peoplefacedifficultiesintrackingtheirdailyexpensesand understanding where their money is being spent. This system helps users record their income and expenses,

Step 9: AI Finance Assistant
Fig. 12: AI Finance Assistant

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 13 Issue: 03 | Mar 2026 www.irjet.net p-ISSN: 2395-0072

categorizetransactions,andmonitortheirfinancialactivities through a simple dashboard. The system stores financial datainadatabaseandanalyzesittogenerateusefulfinancial insights. By observing spending patterns, users can understandtheirfinancialhabitsandidentifyareaswhere they are spending more money. The graphical representationofdatathroughchartsandsummarieshelps usersunderstandtheirfinancialinformationinaclearand simple way. This system shows how a simple finance tracking application combined with basic AI analysis can help users improve their financial planning and money managementhabits.

Inthefuture,thesystemcanbeimprovedbyaddingmore advancedfeaturestomaketheapplicationmoreintelligent and useful. The application can be connected with bank accountsanddigitalpaymentplatformssothattransactions arerecordedautomatically,reducingmanualworkforusers. More advanced artificial intelligence algorithms can be added to provide financial predictions and personalized budgetingsuggestionsbasedonuserspendingbehavior.The systemcanalsoincludeinvestmentandsavingssuggestions tohelpusersplantheirfinancialfuturemoreeffectively.The application can be expanded to mobile platforms so users canmanagetheirfinancesanytimeandanywhere.Additional securityfeaturessuchasdataencryptionandsecurelogin methodscanalsobeimplementedtoprotectuserfinancial data. With these improvements, the system can become a moreadvancedandintelligentpersonalfinancemanagement systeminthefuture.

REFERENCES

[1] M.Yahyaa,S.Raagul,andG.Anitha,“SmartSaveAI:An IntelligentGoalBasedFinanceTracker,”Proceedingsof the 2025 10th International Conference on Communication and Electronics Systems (ICCES), Coimbatore,India,pp.1832–1835,June2025.

[2] M.S.Saini,P.Suri,D.Panwar,M.Sharma,S.Bagga,andV. Ahmad, “AI-Powered Personal Finance Management Applications,”WorldSkillsConferenceonUniversalData AnalyticsandSciences(WorldSUAS),pp.1–6,2025.

[3] W.Wang,D.K.Kasina,P.R.Deshpande,S.Gawade,andS. Bathla, “AI Finance Tracker,” Department of Applied DataScience,SantaClaraUniversity,December2024.

[4] P. Dadhe, et al., “Smart Financial Insights: AI-Driven Financial Insights for Next-Generation Financial Forecasting,” Proceedings of the 2nd International ConferenceonCircuits,PowerandIntelligentSystems (CCPIS),Bhubaneswar,India,pp.1–6,2025.

[5] D.BrilliantovandL.Mandrikova,“SmartBudgetingwith AI: Transformative Approaches in Personal Finance Management,” Open Information and Computer

Integrated Technologies, vol. 103, pp. 100–111, May 2025.

[6] V. Agarwal, R. Ray, and N. Varghese, “An AI-Powered Personal Finance Assistant: Enhancing Financial Literacy and Management,” Research Cell: An InternationalJournalofEngineeringSciences,pp.1–6, 2024.

[7] Bashsharetal.,“ArtificialIntelligence-DrivenPersonal Finance Solution for Smart Budgeting and Financial Planning,”JournalofIntelligentFinancialSystems,vol. 25,no.06,pp.1–6,June2025.

[8] C.Challoumis,“InWhatWaysCanAIEnhanceFinancial LiteracyandMoneyManagement,”Proceedingsofthe XVI International Scientific Conference, pp. 275–299, October2024.

[9] A. Davitaia, “Intelligent Finance: The Evolution and Impact of AI-Driven Advisory Services in FinTech,” JournalofFinTechandDigitalFinancialServices,vol.7, no.06,pp.134–136,June2025.

[10]Katyetal.,“AI-PoweredPersonalFinanceManagement: TransformingBudgetingandSavingsintheDigitalAge,” JournalofDigitalFinanceandInnovation, 2024.

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