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Cover image for 😍 This the best
😍 This the best I have done in health industry - A SaaS platform: https://treatmentnotes.com/ 🚀 Built an AI-powered behavioral health documentation platform designed for real clinical workflows. The system supports AI generated notes from live conversations, uploaded transcripts, and custom knowledge-base logic tailored to mental health and addiction treatment. It was designed for secure, scalable healthcare use with HIPAA ready architecture and EMR integration support. 💯 Complete Tech Stack: AI Summarization, Clinical Nuance Detection, FastAPI, Vite, React, AWS Bedrock, Anthropic Claude, PostgreSQL, pgvector, Vector Database, Retrieval-Augmented Generation (RAG), AI Agent Architecture, HIPAA Compliant Cloud, Speech-to-Text API, LLM Fine-tuning, Healthcare Interoperability, HL7/FHIR Integration, Serverless Backend, Semantic Search, Private LLM Deployment, Encryption at Rest, Python Backend Development. 🧠 What do you say Contra Community?
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Cover image for Cyber Security Analytics Dashboard 🔐📊 Cybersecurity
Cyber Security Analytics Dashboard 🔐📊 Cybersecurity is more than detecting threats—it's about turning security data into actionable insights. In this Power BI dashboard, I analyzed cybersecurity data to monitor security incidents, attack patterns, threat severity, affected systems, and overall security KPIs. The interactive dashboard helps organizations identify risks, improve monitoring, and support faster, data-driven security decisions. Tools Used: Power BI SQL Python (Data Cleaning & Analysis) Key Skills: Cyber Security Analytics | Threat Analysis | Security Dashboard | Risk Analysis | Incident Monitoring | Data Visualization | Business Intelligence | SQL | Python | Power BI | Data Analytics #PowerBI #CyberSecurity #CyberSecurityAnalytics #ThreatIntelligence #DataAnalytics #BusinessIntelligence #DashboardDesign #SQL #Python #DataVisualization #DataAnalyst #PortfolioProject #SecurityAnalytics
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Cover image for Built a full-stack HRMS in
Built a full-stack HRMS in under 2 weeks as a side project to dive deeper into Python and backend development! Features so far: Employee management with role-based access (Admin / HR / Employee) Leave request workflow with approval/rejection Attendance tracking — clock in/out, monthly calendar view Payroll engine — tax brackets, overtime, pro-rated salary, PDF payslip download Notifications, search, pagination, CSV exports Dockerized and deployed Stack: Next.js · TypeScript · Tailwind · FastAPI · PostgreSQL · SQLAlchemy The backend was a new challenge for me: SQLAlchemy relationships, Alembic migrations, Decimal precision for payroll calculations, streaming PDF responses — all of it was tricky at first, but I’ve learned a lot along the way. URL: https://lnkd.in/dRg86PtQ (https://lnkd.in/dRg86PtQ)This is just the beginning! I plan to add many more features.
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Cover image for Boost Productivity: Automate Repetitive Business Tasks Today
🚀 Stop Repeating. Start Automating. Every business has repetitive tasks that quietly consume valuable time. Things like: ❌ Manual data entry ❌ Spreadsheet updates ❌ Email follow-ups ❌ Report generation ❌ Internal notifications Individually, they seem small. Collectively, they slow growth. Automation isn't about replacing people. It's about removing repetitive work so your team can focus on what actually matters: 📈 Growth 🎯 Strategy 🤝 Customers 💡 Innovation The businesses scaling fastest today are building systems that work even when they're not actively managing every step. Automation helps you: ⚡ Save hours every week 📊 Improve accuracy 🔄 Streamline operations 📈 Increase productivity 💰 Scale efficiently Before hiring more people or adding more tools, ask yourself: 👉 Which process should already be automated?
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Cover image for AI Customer Support Agent with
AI Customer Support Agent with Knowledge Base Businesses lose valuable time answering repetitive customer questions. I built an AI-powered customer support agent that provides instant, accurate responses by searching company documentation instead of relying solely on a language model. The assistant uses Retrieval-Augmented Generation (RAG) to retrieve relevant information from PDFs, FAQs, user manuals, and internal knowledge bases before generating responses. Every answer includes source citations, allowing users to verify the information with confidence. Key Features ✅ AI-powered customer support ✅ Knowledge Base & PDF ingestion ✅ RAG-based semantic search ✅ Conversation memory ✅ Source citations for every response ✅ Enterprise admin dashboard ✅ Responsive web interface for desktop and mobile Tech Stack Python Django OpenAI LangGraph PostgreSQL RAG (Retrieval-Augmented Generation) Business Impact • Reduced repetitive support requests by providing instant AI responses • Improved customer experience with 24/7 availability • Increased trust through citation-backed answers • Centralized company knowledge into a searchable AI assistant • Scalable architecture for enterprise support teams Building AI applications isn't just about integrating an LLM—it's about designing reliable systems that deliver accurate, explainable, and production-ready results. If you're looking to build an AI-powered customer support platform, internal knowledge assistant, or enterprise RAG application, I'd be happy to discuss your project. #AI #OpenAI #Python #Django #LangGraph #RAG #ArtificialIntelligence #CustomerSupport #KnowledgeBase #SaaS #MachineLearning #EnterpriseAI #Automation #SoftwareDevelopment #Contra #Freelancer
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