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Local Mind OS – Offline Personal AI Knowledge System
Local Mind OS is an offline-first knowledge management system designed to help users organize, store, and retrieve personal information intelligently without relying on cloud services. The platform allows users to store notes, ideas, and documents locally while maintaining full control and privacy over their data.
The system processes stored information using local AI models to understand context and organize knowledge into a searchable structure. Users can quickly retrieve relevant information, connected ideas, and insights through intelligent query processing.
By running entirely offline, Local Mind OS ensures privacy, faster access, and uninterrupted knowledge management without internet dependency.
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Built a Multimodal RAG system live on stream. From zero to working CLI in one session.
The goal: a terminal-based RAG pipeline using Haystack, Gemini Multimodal Embeddings, and Flash Lite, querying complex research PDFs through a conversational loop.
Three real engineering lessons from the build:
Chunking isn't optional. Raw PDFs exhaust token limits instantly. 6-page splits solved it.
InMemoryDocumentStore works for prototyping, but re-vectorizes on every launch. Persistent DBs like Weaviate are the next step.
Haystack's pipeline is strict. Mis-wiring a retriever to a generator crashes the loop immediately. API contracts matter.
Result: a CLI that maps user queries to the top 4 semantic chunks in RAM and returns grounded, non-hallucinated answers from your own documents.
Every mistake, every fix, on camera.
"Ugurcan Uzunkaya this is seriously impressive! 🔥 Building a full RAG pipeline live on stream in one session is no joke!
That chunking lesson is so real — token limits hit different when you're working with raw PDFs.
And the Haystack pipeline point about API contracts is...
This looks really cool. AI video tools are evolving so fast lately. Curious how Higgsfield AI compares with CapCut in your workflow.
The Financial Performance Analysis Dashboard provides a comprehensive overview of an organization’s financial health by analyzing revenue, expenses, profitability, and key financial ratios. Developed using Power BI, this dashboard enables finance teams and decision-makers to monitor business performance, track profitability trends, and evaluate financial efficiency in real time.
Key KPIs Tracked
✔ Revenue – Total income generated from business operations
✔ Expenses – Combined operational and non-operational costs
✔ Gross Profit – Revenue remaining after cost of goods sold (COGS)
✔ EBIT – Earnings before interest and taxes, indicating operational profitability
✔ Net Profit – Final profit after all expenses, interest, and taxes
dashboarddashboarddesignpowerbidashboardMicrosoft Power BIData ScienceData VisualizationAI Engineer Microsoft ExcelTableau
Amazing work
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