remon samer 's Work | ContraWork by remon samer
remon samer

remon samer

AI Workflow Automation Engineer - API Integration and n8n

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Built an AI-powered pharmacy automation workflow using n8n, Groq LLM, Telegram, and Google Sheets. The system monitors inventory, detects low-stock and expiring medications, organizes pharmacy data automatically, and sends notifications to doctors and suppliers based on AI decisions. Technologies: • n8n • Groq LLM • JavaScript • Google Sheets • Telegram Bot This project demonstrates AI workflow automation, API integrations, structured outputs, and business process automation.
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AI-Powered Email Assistant: Intelligent Classification & Automation Pipeline Project Overview This project showcases a production-ready, intelligent email automation pipeline built with n8n and integrated with Advanced LLMs and JavaScript logic. The system acts as a virtual operations assistant—analyzing incoming emails in real-time, understanding user intent, and executing dynamic routing actions to optimize inbox management and critical business communications. Key Automation Workflows Demonstrated Intelligent Intent Classification & Auto-Reply: Detects high-priority business proposals, extracts critical deadlines, and instantly generates context-aware, professional replies sent directly within the same email thread. Automated Spam Eradication: Leverages AI to scan incoming metadata and body text, instantly moving promotional ads and unsolicited spam to the trash to maintain a zero-clutter inbox. Critical Alert Escalation (Telegram Routing): Recognizes high-severity system emergencies (such as server or database failures) and triggers instant, actionable notifications to a dedicated Telegram channel for immediate technical response. Tech Stack & Architecture Workflow Orchestration: n8n AI & NLP Core: LLM Integration (Intent Analysis & Structured JSON Output Parsing) Data Processing: Custom JavaScript (Robust parsing, conditions, and error handling) Integrations: Gmail API, Telegram Bot API The Result A secure, scalable framework that eliminates manual inbox sorting, cuts response times for critical leads to under a minute, and ensures infrastructure failures are flagged instantly. Looking to automate your repetitive workflows? Let’s connect and build an intelligent automation pipeline tailored to your business needs!
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Cover image for AI-Driven Market Intelligence: Automated Federal
AI-Driven Market Intelligence: Automated Federal Policy Extraction & Impact Analysis Project Overview This project introduces an intelligent intelligence gathering pipeline designed to automatically track, analyze, and document federal regulations and White House announcements that could directly impact global oil and energy prices. Built using n8n, the system leverages Advanced AI Agents and LLMs (via Groq) to perform autonomous market-sentiment analysis and structure raw governmental data into actionable intelligence. How the Workflow Works (Step-by-Step Architecture) Automated Data Ingestion (HTTP Request): Connects directly to federal endpoints (like the Federal Register API or White House policy feeds) via HTTP requests to fetch the latest published official updates in real-time. Data Parsing & Looping (Split Out & Loop): Isolates incoming data streams, transforming bulky payloads into individual policy items, and processes each item through an optimized loop mechanism. Autonomous Intent & Relevance Analysis (AI Agent 1): Powered by the ultra-fast Groq Chat Model, this AI Agent acts as the first filter—reading the policy content to determine whether it holds any geopolitical or economic relevance to oil and energy markets. Conditional Routing (If Logic): An evaluation layer that instantly filters out irrelevant announcements, passing only the high-impact, market-moving data to the next phase. Deep Impact Analysis (AI Agent 2): A specialized AI Agent analyzes the filtered policy to estimate the potential market direction (bullish/bearish/neutral) and provides a structured synthesis of the impact on oil prices. Structured Logging & Code Cleanup (Google Sheets & JavaScript): Runs custom JavaScript to clean up the AI outputs and dynamically appends the final analysis, timestamps, and source links into a Google Sheet for market analysts to review. Tech Stack & Tools Used Workflow Orchestration: n8n AI Engine & Inference: AI Agents powered by Groq Chat Models Data Processing: JavaScript & Native n8n Logic (Loop, Split Out, If Condition) Integrations: Federal API Ingestion (HTTP Request), Google Sheets API The Value Delivered This automation saves hours of manual research for energy traders, analysts, or consulting firms, giving them a competitive edge by flagging market-altering geopolitical and federal decisions the exact minute they are officially published. Need to build custom AI Agents to track your industry's data? Let's collaborate to build your next automated intelligence pipeline!
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