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SmartCrop – AI Smart Farming Assistant
SmartCrop is an AI-powered platform designed to help farmers make better agricultural decisions. It provides crop recommendations, pest detection using computer vision, weather-based insights, and an AI farmer chatbot.
Farmers can interact with the system through voice or text in multiple languages, making it accessible for rural communities. By analyzing agricultural data such as soil conditions, crop datasets, and weather patterns, SmartCrop delivers intelligent recommendations to improve crop yield and reduce farming risks.
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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
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...
A fresh brand identity that connects the land with the future of autonomous farming!🌿🚜🌽
looks beautiful
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