{"schema":"BUIDL","d":{"id":16964,"members":[],"pictures":["https://cdn.dorahacks.io/static/files/192618bd4ce5b785343eb1f46d4a99d4.jpg"],"roundProjects":[],"hackathonProjects":[{"id":18430,"hackathon":{"id":597,"tabSet":[{"id":1104,"name":"Submission Guide","slug":"submission-guide","description":"# Tutorial Video\n\n![YouTube](https://youtu.be/yWhQPzxptg0)\n\n# **Getting Started [3-5 MIN]**\n\n**1.** **Submit your BUIDL via [DoraHacks.io](https://dorahacks.io/). You need an account with DoraHacks before you can submit.**\n\nUse the **Log in** button in the upper right corner of the page to access the sign-up options.\n\n

\n\nYou can create your account with either your **GitHub account, Google account, crypto wallet** or **email address**. We recommend connecting your account to GitHub to share your projects with a wider audience.\n\n*If asked for a verification code via email, the email may take a few minutes to arrive. The code expires 10 minutes after you click “**send code**”.\n\n**2.** **Before the submission deadline, make sure you have added your Github link to the project. You can submit the project first, and continue editing until the deadline.**\n\nClick “**Submit BUIDL**”.\n\n

\n\n\n> **→ Already have a BUIDL on DoraHacks?**\n> \n\n1. Click “**Use existing BUIDL**” and select your BUIDL project.\n2. Choose the track you want to enter. \n3. Answer the questions set by the organizer in the input field if applicable.\n\n

\n\n\n> **→ Submitting a new BUIDL?**\n> \n> Click **“Create new BUIDL”** and fill out the form with your project details.\n\n

\n\nBe sure to include **URLs (with http/https://)** for your demo, demo link, and social media.\n\n

\n\n

\n\nOnce you’ve completed the new BUIDL setup, select the relevant track, and click **“Submit for review”**.\n\n

\n\nAfter submitting successfully, you'll see this notification.\n\n

\n\n# **Manage BUIDL submission**\n\nAfter submitting your application, the \"Submit\" button will update to \"Manage Submission\". Click the button to manage your BUIDL's Track/Bounty submission.\n\n

\n\n# **Project Approval**\n\nAfter submission, your project needs to be approved by the Hackathon Organizer before it becomes publicly visible in the Hackathon [BUIDLs gallery](https://dorahacks.io/hackathon/597/buidl).\n\n

\n\n# **Getting Support**\n\nIf you have any questions for the hackathon organizers, feel free to contact them via their dedicated Telegram, Discord, or Slack communication channel. You can also click the \"**Message**\" button next to the organizer's logo to DM them on DoraHacks.\n\n# **Want to Update Your BUIDL?**\n\nHead to your Account Center by clicking **[Avatar] -> [Profile]**. Find your project and hit the **Edit** button on its detail page to make changes.\n\n

\n\n

"}],"skills":null,"applied":false,"isCurrentHackerRegistered":false,"buidlsCount":64,"applicationsCount":64,"organization":{"id":2721,"name":"DivHacks 2024: Tech for Social Good","logo":"https://cdn.dorahacks.io/static/files/192206ac7eba1d9118d5d6d428d991c0.jpg"},"description":"# Welcome\nCome to DivHacks to build meaningful projects for social good—whether it is changing the world of fashion, improving sustainability efforts, transforming media consumption, or simply making new connections with like-minded people.\n\n**Mission:** We are hosting a beginner-friendly hackathon which enables a wide range of students to develop their technical and soft skills while also contributing to the betterment of society around them by “tech-ing for social good.”\n\n**Date:** October 5-6, 2024 (hacking begins at 10 AM on Saturday, October 5 and ends at 11 AM on Sunday, October 6)\n\n**Location:** 2920 Broadway, New York, NY 10027 - Lerner Hall, Columbia University\n\n**Platforms You Should Use:** DoraHacks, Discord, DivHacks website (https://www.columbiadivhacks.org/), MLH website (https://mlh.io/)\n\n**Resources:** Discord, Hacker Handbook (available on Discord)\n\n# **DivHacks General Tracks** *(you may only submit to one)***:**\n- Education: Empower learners and educators with innovative tools and resources.\n- Environment: Create impactful solutions to tackle climate change and protect our planet.\n- Media: Transform how information is shared and consumed in the digital age.\n- Fashion: Revolutionize the industry with sustainable and ethical tech solutions.\n- Civic: Enhance civic engagement and governance through tech-driven initiatives.\n- Health: Advance healthcare with technology that improves well-being and accessibility.\n\n# **DivHacks Sponsor Tracks** *(you may submit to multiple)***:**\n- Capital One: Best Financial Hack\n- Google: Best Use of Breadboard\n- Google: Most Creative Use of NotebookLM\n- Pittsburgh Regional Health Initiative: Patient Safety Technology Challenge\n- Snap AR: Dream It Build It!\n- VerbWire: Best Use of AI and VerbWire API\n- SWSH: Best Group Selfie\n\n# **MLH Tracks** *(these prizes are provided by MLH, and you may submit to multiple)*:\n- MongoDB: Best Use of MongoDB Atlas\n- GoDaddy Registry: Best Domain Name\n- Auth0 by Okta: Best Use of Auth0\n- Fidelity: Best DEI Hack\n- MSI\n- HashiCorp: Best Use of Terraform","onboardingCompleted":false,"registerFormUrl":null,"preRegisterTime":0,"publicContactHackerHandle":"U_3ecde2c0d4bfa1","hackersCount":109,"winnerAnnounced":true,"teamCount":0,"title":"DivHacks 2024: Tech for Social Good","uname":"divhacks2024","imageUrl":"https://cdn.dorahacks.io/static/files/19220718b43d3c3084a004945ba9b26b.jpg","originUrl":null,"startTime":1728136800,"endTime":1728230400,"timezone":"240","city":null,"visible":true,"approvalStatus":6,"state":0,"voteUrl":null,"voteMechanism":null,"bonusPrice":0,"bonusMechanism":null,"followersCount":0,"ecosystem":"AI,ML,AR,VR,Web3,Web Dev,Mobile Dev","applyGuide":null,"weight":0,"participationForm":"IRL","field":"Fashion,Education,Environment,Health,Civic,Media","email":"cu.divhacks@gmail.com","contacts":"Email,cu.divhacks@gmail.com","externalContacts":null,"telegram":null,"discord":null,"whatsapp":null,"wechat":null,"prizeFundingEscrowed":0,"token":"USD","prizeSafeForm":0,"prizeSafeNetwork":null,"prizeSafeOwner":null,"prizeSafeWallet":null,"prizeSafePublishDate":null,"hasOnboarding":false,"isPublicTrackJudging":false,"isEndedTrackJudging":false,"question":"[{\"id\":1,\"text\":\"Please also answer our Google Form questionnaire when you submit your hack to be eligible for judging and a prize: https://forms.gle/449gU3yjY7xvj3Ax5.\",\"required\":false}]","countryId":230,"cityId":1840034016,"venueName":"Columbia University","venueAddress":"2920 Broadway, New York, NY 10027","category":3,"isEnableBounty":true,"isBountyRequired":false,"isEndedBountyJudging":false,"bountiesLimitForBuidl":7,"isPublicBountyJudging":false,"isMultiTracksAllowed":false,"tracksLimitForBuidl":0,"showIdeaTab":true,"showQuestionTab":true,"showTeamTab":false,"bonusDescription":[],"askHackers":[],"isEnabledQuestions":true,"isEnabledAskHackers":false,"isBuidlsPrivate":false,"trackJudgingMaxScore":100,"bountyJudgingMaxScore":100,"isExtended":false,"oldEndTime":null,"status":2},"status":4,"bounty":null,"track":null,"table":"0","trackObj":{"id":1637,"name":"Health","judgingCriteria":"How can we promote physical and/or mental wellbeing? How can we increase our awareness and attention on health, especially in a society of “hustle culture” and health fads? Oftentimes, we value our health when it is too late. Are there any unique, preventative approaches?\n\nPrizes:\n-40oz Hydroflasks (4x)","weight":2},"bountyObjs":[]}],"chain":[],"chainList":[],"appliedGrant":false,"acceptRewards":false,"owner":172383,"ownerInfo":{"nickname":"hacker3cdfb19","username":"U_caec22b99c0e4","avatar":"https://cdn.dorahacks.io/static/files/192606f2e41dda7283266654ac2add41.png"},"visible":true,"deleted":false,"continuousSponsoring":false,"pageView":0,"sponsoredCount":0,"starCount":0,"sponsoredAmount":"0.00","sponsoredPersons":0,"followers":1,"voteCount":0,"projectMembers":[],"bnbRound":null,"doraGrantDaoTags":[],"techTrees":[-1],"infrastructureTags":[],"otherInfrastructures":[],"lastEditor":{"id":172383,"username":"U_caec22b99c0e4","date":1736327089000},"upvoted":false,"followed":false,"upvoters":{"count":1,"list":[{"id":19630,"hacker":{"username":"U_8d8518faeeedab","avatarUrl":"https://cdn.dorahacks.io/images/hacker-avatar/1.jpg","nickName":"hacker9c4e68f","introduction":"gpu"},"createdAt":"2024-10-10T01:37:31.816399+08:00","upvotes":"0.00","followed":false}]},"kycStatus":0,"ideas":[],"name":"MediTrack","techniqueField":"","source":"-","vision":"Medication errors, particularly incorrect dosages and inappropriate prescriptions, are a significant cause of preventable harm and death each year. These errors are often due to doctors prescribing drugs without considering the patient’s age, current medications, or allergies. Our project, MediTrack, aims to revolutionize patient safety by equipping healthcare providers with a powerful decision-support tool. By allowing clinicians to input essential patient information such as age, sex, weight, allergies, and current medications, the system can provide real-time analysis and warnings for potential issues. MediTrack also utilises Google’s NotebookLM to suggest alternative medications that are safer and better suited to the patient’s profile. Ultimately, our goal is to empower clinicians to make informed, data-driven prescribing decisions, reducing the risk of adverse drug events and improving patient outcomes and promoting patient safety.","projectDescription":"**Overview:**\nMediTrack aims to enhance patient safety by preventing medication errors, including drug interactions and incorrect dosages. Using a simple JavaScript-based system, healthcare professionals can verify if a prescribed medication is safe for a patient, considering their current prescriptions, medical conditions, and dosage guidelines.\n\n**The primary technology used:**\nJavaScript/Node.js: For developing the core application logic.\nNotebook LLM Integration: If the doctor made a mistake in the prescription, the AI can check and offer safe alternatives based on the patient's allergy history, medication taken and other factors. We inputted to the Notebook drug usage guides and safe prescription of medication.\n[NotebookLM](https://notebooklm.google.com/notebook/70ee4f73-184b-42cd-aa82-a26f673535a4?original_referer=https:%2F%2Fwww.google.com%23&pli=1)\n**Patient Data Collection:**\n* patientRecords: This is an object that stores the profile of each patient. Each record includes age, sex, weight, current medications, allergies, and any health conditions. In the future, it could include other variables to make it more detailed and able to encompass more cases.\nExample patient data:\nconst patientRecords = {\n patient_1: {\n age: 65,\n sex: \"Female\",\n weight_kg: 70,\n current_medications: [\"aspirin\", \"metformin\"],\n allergies: [\"penicillin\"],\n health_conditions: [\"diabetes\", \"hypertension\"]\n }\n};\nThe data will eventually be pulled from a database or an input form, allowing doctors to add and modify patient information and allowing more privacy. Mongodb will be used in the future to allow doctors to add multiple data while safeguarding their patients' privacy.\n**Medication Interaction Check:**\ndrugInteractions: This part of the code contains known drug-drug interactions. It checks if any of the patient's current medications interact negatively with the new medication that is being prescribed. This could later include a wider range of drugs and their possible interactions.\nInteraction Logic:\nThe function checkInteractions() loops through the patient's current medications to see if any of them interact with the newly prescribed medication.\nIf there is a match, it returns a warning message. This could later include color signs to convey urgency. A red alert would signal to the doctor that the medication prescribed or dosage is dangerous to the patient, an orange alert would mean mild danger which signifies that the medication or dosage is not very suitable but it is not harmful. We could later tie it to technology like NotebookLM to suggest other medication options.\nExample interaction:\nconst drugInteractions = {\n aspirin: [\"ibuprofen\"], // Aspirin interacts with ibuprofen\n metformin: [\"contrast dye\"] // Metformin interacts with contrast dye used in imaging\n};\nDosage Validation:\ndosageGuidelines: The system includes dosage guidelines for different age groups to ensure safe prescription practices. Dosages are adjusted for seniors, who may require lower doses.\nValidation Logic:\nThe system checks the prescribed dosage against recommended minimum and maximum dosages based on the patient’s age.\nExample dosage guideline:\nconst dosageGuidelines = {\n aspirin: {\n adult: { min_dose_mg: 50, max_dose_mg: 1000 },\n senior: { min_dose_mg: 50, max_dose_mg: 300 } // Lower dose for seniors\n }\n};\nMedication & Dosage Check Function:\ncheckInteractions(patient, newMedication): This is the main function that checks for potential drug interactions.\nProcess:\nFor each medication in the patient's current list, it checks against the new medication to see if there is a known interaction.\nIf an interaction is found, it returns a warning message.\nIf no issues are detected, the system proceeds to dosage validation and allergy checks.\nExample use:\nconst interactionResult = checkInteractions(\"patient_1\", \"ibuprofen\");\nconsole.log(interactionResult); // Outputs warning if interaction is found\n**Future features:**\nLook-alike medication separation:\nDesign the system to separate medications with similar names or packaging to minimize confusion and protect patients from medical errors.","teamDescription":"Samia Mayssan: backend developer\nAizhan Tortayeva: UI/UX designer\nClass of 2028 at Skidmore College\nThis is our first hackathon!","githubPage":null,"githubVerify":0,"demoLink":null,"demoVideo":"https://youtu.be/gskQRSURazw","ownerTitle":null,"ownerIntroduction":null,"twitterVerified":false,"weibo":null,"nft":null,"scOwner":"","editTime":1736327089,"upvotes":"0.00","isRecruitingEnabled":false,"recruitingInfo":"","recruitingLink":null,"twitter":null,"facebook":null,"instagram":null,"socialTelegram":null,"socialDiscord":null,"socialLinks":["https://instagram.com/jal.ane","https://instagram.com/t._.aizhan","https://instagram.com/princesse.bananahammock"],"showedFunding":false,"createdAt":"2024-10-06T22:03:23.030063+08:00","updatedAt":"2024-10-06T22:56:50.879156+08:00","milestoneEditor":null,"path":"/buidl/16964","techField":"","techFieldAry":[],"techTree":[-1],"tags":[],"otherTags":[],"origin":"-","intro":"**Overview:**\nMediTrack aims to enhance patient safety by preventing medication errors, including drug interactions and incorrect dosages. Using a simple JavaScript-based system, healthcare professionals can verify if a prescribed medication is safe for a patient, considering their current prescriptions, medical conditions, and dosage guidelines.\n\n**The primary technology used:**\nJavaScript/Node.js: For developing the core application logic.\nNotebook LLM Integration: If the doctor made a mistake in the prescription, the AI can check and offer safe alternatives based on the patient's allergy history, medication taken and other factors. We inputted to the Notebook drug usage guides and safe prescription of medication.\n[NotebookLM](https://notebooklm.google.com/notebook/70ee4f73-184b-42cd-aa82-a26f673535a4?original_referer=https:%2F%2Fwww.google.com%23&pli=1)\n**Patient Data Collection:**\n* patientRecords: This is an object that stores the profile of each patient. Each record includes age, sex, weight, current medications, allergies, and any health conditions. In the future, it could include other variables to make it more detailed and able to encompass more cases.\nExample patient data:\nconst patientRecords = {\n patient_1: {\n age: 65,\n sex: \"Female\",\n weight_kg: 70,\n current_medications: [\"aspirin\", \"metformin\"],\n allergies: [\"penicillin\"],\n health_conditions: [\"diabetes\", \"hypertension\"]\n }\n};\nThe data will eventually be pulled from a database or an input form, allowing doctors to add and modify patient information and allowing more privacy. Mongodb will be used in the future to allow doctors to add multiple data while safeguarding their patients' privacy.\n**Medication Interaction Check:**\ndrugInteractions: This part of the code contains known drug-drug interactions. It checks if any of the patient's current medications interact negatively with the new medication that is being prescribed. This could later include a wider range of drugs and their possible interactions.\nInteraction Logic:\nThe function checkInteractions() loops through the patient's current medications to see if any of them interact with the newly prescribed medication.\nIf there is a match, it returns a warning message. This could later include color signs to convey urgency. A red alert would signal to the doctor that the medication prescribed or dosage is dangerous to the patient, an orange alert would mean mild danger which signifies that the medication or dosage is not very suitable but it is not harmful. We could later tie it to technology like NotebookLM to suggest other medication options.\nExample interaction:\nconst drugInteractions = {\n aspirin: [\"ibuprofen\"], // Aspirin interacts with ibuprofen\n metformin: [\"contrast dye\"] // Metformin interacts with contrast dye used in imaging\n};\nDosage Validation:\ndosageGuidelines: The system includes dosage guidelines for different age groups to ensure safe prescription practices. Dosages are adjusted for seniors, who may require lower doses.\nValidation Logic:\nThe system checks the prescribed dosage against recommended minimum and maximum dosages based on the patient’s age.\nExample dosage guideline:\nconst dosageGuidelines = {\n aspirin: {\n adult: { min_dose_mg: 50, max_dose_mg: 1000 },\n senior: { min_dose_mg: 50, max_dose_mg: 300 } // Lower dose for seniors\n }\n};\nMedication & Dosage Check Function:\ncheckInteractions(patient, newMedication): This is the main function that checks for potential drug interactions.\nProcess:\nFor each medication in the patient's current list, it checks against the new medication to see if there is a known interaction.\nIf an interaction is found, it returns a warning message.\nIf no issues are detected, the system proceeds to dosage validation and allergy checks.\nExample use:\nconst interactionResult = checkInteractions(\"patient_1\", \"ibuprofen\");\nconsole.log(interactionResult); // Outputs warning if interaction is found\n**Future features:**\nLook-alike medication separation:\nDesign the system to separate medications with similar names or packaging to minimize confusion and protect patients from medical errors.","images":["https://cdn.dorahacks.io/static/files/192618bd4ce5b785343eb1f46d4a99d4.jpg"],"team":"Samia Mayssan: backend developer\nAizhan Tortayeva: UI/UX designer\nClass of 2028 at Skidmore College\nThis is our first hackathon!","github":null,"demo":null,"video":"https://youtu.be/gskQRSURazw","socialTwitter":null,"socialFacebook":null,"socialInstagram":null,"nftId":null,"haxonBuidls":[{"id":18430,"projectId":16964,"name":"MediTrack","track":"Health","bounties":[],"haxonId":597,"haxonName":"DivHacks 2024: Tech for Social Good","status":2,"haxonCreateAt":"2024/10/05 14:00:00 UTC"}],"kudoData":null,"bountyObjs":[],"badges":["{\"schema\":\"BADGE\",\"d\":{\"index\":\"b14472\",\"badgeType\":\"buidl\",\"path\":\"/buidl/16964/achievement/b14472\",\"ownerId\":16964,\"iconName\":\"b0\",\"updatedDate\":\"2024/10/07\",\"title\":\"DivHacks 2024: Tech for Social Good\",\"detail\":\"Participation\",\"tag\":\"Hackathon\",\"imageUrl\":\"https://cdn.dorahacks.io/static/badge/b0_DivHacks~c322024:~c32Tech~c32for~c32Social~c32Good.webp\",\"shareImageUrl\":\"https://cdn.dorahacks.io/static/badge/b0_DivHacks~c322024:~c32Tech~c32for~c32Social~c32Good.jpg\",\"id\":14472,\"metaInfo\":{\"type\":\"HACKATHON_PARTICIPATION\",\"hackathonId\":597,\"title\":\"DivHacks 2024: Tech for Social Good\"},\"createdAt\":1728342911,\"updatedAt\":1728342911,\"type\":0,\"subjectId\":597,\"metadata\":{},\"buidl\":16964}}"]}}