[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-80136":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":12,"contributorsCount":12,"subscribersCount":12,"size":12,"stars1d":12,"stars7d":12,"stars30d":14,"stars90d":12,"forks30d":12,"starsTrendScore":12,"compositeScore":15,"rankGlobal":9,"rankLanguage":9,"license":9,"archived":16,"fork":16,"defaultBranch":17,"hasWiki":18,"hasPages":16,"topics":19,"createdAt":9,"pushedAt":9,"updatedAt":20,"readmeContent":21,"aiSummary":22,"trendingCount":12,"starSnapshotCount":12,"syncStatus":23,"lastSyncTime":24,"discoverSource":25},80136,"Smart-AI-Healthcare","madhusundar240\u002FSmart-AI-Healthcare","madhusundar240","A real-time AI and Machine Learning based healthcare application that predicts diseases from user symptoms using text, voice, and image inputs. The system supports multilingual communication, severity analysis, diet recommendations, PDF report generation, and nearby hospital navigation for smart medical assistance.",null,"Python",54,0,53,1,37.1,false,"main",true,[],"2026-06-12 04:01:26","📌 Project Overview\n\nThe Multilingual AI Healthcare Assistant is a real-time healthcare application developed using Artificial Intelligence and Machine Learning technologies. The system predicts possible diseases based on user symptoms provided through text, voice, and image inputs.\nThe application supports multilingual communication, severity analysis, diet recommendations, PDF health report generation, and nearby hospital navigation for smart medical assistance.\n\n🚀 Features\n\nReal-time Disease Prediction\nMultilingual Support\nVoice-Based Symptom Input\nImage-Based Symptom Analysis\nSeverity Level Detection\nDiet Recommendation\nPrecaution Suggestions\nPDF Health Report Generation\nNearby Hospital Navigation using Google Maps\n\n🛠️ Technologies Used\n\nPython\nFastAPI\nMachine Learning\nHTML\nCSS\nJavaScript\nScikit-learn\nReportLab\n\n📂 Project Structure\n\nPlain text\nhealthcare-chatbot\u002F\n│\n├── backend\u002F\n│   ├── app\u002F\n│   ├── datasets\u002F\n│   ├── models\u002F\n│   └── venv\u002F\n│\n├── frontend\u002F\n│\n├── uploads\u002F\n│\n├── README.md\n\n▶️ How to Run the Project\n\n1. Clone Repository\nBash\ngit clone \u003Crepository-link>\n2. Navigate to Project Folder\nBash\ncd healthcare-chatbot\n3. Install Dependencies\nBash\npip install -r requirements.txt\n4. Run Backend Server\nBash\nuvicorn app:app --reload\n5. Open Frontend\nOpen index.html using Live Server or browser.\n\n📊 Dataset\n\nThe project uses symptom and disease datasets for Machine Learning based disease prediction and healthcare analysis.\n\n🎯 Objective\n\nTo develop an intelligent AI-powered healthcare assistant that improves early disease awareness, healthcare accessibility, and smart medical support using Machine Learning techniques.\n\n📍 Output\n\nThe system provides:\nPredicted Disease\nSeverity Level\nDiet Recommendation\nPrecautions\nPDF Health Report\nNearby Hospital Navigation\n","该项目是一款基于人工智能和机器学习的实时医疗应用程序，通过文本、语音和图像输入来预测用户可能患有的疾病。其核心功能包括多语言支持、症状严重程度分析、饮食建议、健康报告生成及附近医院导航等。技术上采用了Python编程语言，并结合FastAPI框架、Scikit-learn库以及ReportLab等工具实现后端逻辑处理与前端展示。适用于需要快速获取初步诊断结果、个性化健康管理建议或紧急情况下寻找最近医疗服务点的场景中，为用户提供智能化的医疗辅助服务。",2,"2026-06-11 03:59:24","CREATED_QUERY"]