Udit Rawat
Hi, I’m Udit, an Acquia-certified developer with a strong background in web development and creating enterprise solutions. Recently, I’ve transitioned into AI and ML, I hold DIAT Professional AI Certification. I specialize in building AI-driven automation to streamline workflows, improve efficiency, and solve complex problems. With expertise in AI/ML tools and years of experience in Acquia and Drupal, I’m passionate about leveraging tech to drive innovation and create smarter solutions.
Templates by Udit Rawat
Stock technical analysis with Google Gemini
The purpose of this workflow, "Sell: Stock Vision," is to create an AI-powered technical analysis agent capable of analyzing financial charts for equity stocks and cryptocurrencies. This workflow provides users with actionable insights into market trends, price movements, candlestick patterns, and technical indicators to support informed trading decisions. How It Works Integration with TradingView: The workflow uses the Chart-Img.com API to fetch detailed financial charts for the specified stock or cryptocurrency. AI-Powered Analysis: The workflow employs advanced AI models, including Google's Gemini Chat Model, to analyze the retrieved charts for candlestick patterns, support/resistance levels, and technical indicators like MACD and RSI. News and Sentiment Analysis: By integrating with SerpAPI, the workflow gathers relevant news about the stock or cryptocurrency to evaluate its potential impact on market movements. Comprehensive Insights: It provides detailed trading strategies, including buy/sell recommendations, stop-loss levels, and risk-reward evaluations. Continuous Memory: The AI agent uses buffer memory to retain context for enhanced analysis and continuity. Use Case This workflow is perfect for traders and analysts who need reliable and AI-powered market analysis to make informed trading decisions efficiently. Tutorial Obtain API keys for Chart-Img.com and SerpAPI. Configure the workflow in your n8n instance by inputting the required API keys and connecting the nodes. Trigger the workflow by providing the stock or cryptocurrency symbol, and let the agent do the rest! https://youtu.be/9fR4qNMT5LM
By Udit RawatAI-powered financial chart analyzer | OpenRouter, MarketStack, macOS Shortcuts
The AI-Powered Financial Chart Analyzer is a cutting-edge automation tool that streamlines financial analysis using n8n workflows, AI agents, and MacOS Shortcuts. It enables users to capture, process, and analyze candlestick charts for both stocks and cryptocurrencies. By integrating powerful tools like ChatGPT-4o-mini (via OpenRouter), MarketStack, and SerpAPI, this automation provides real-time market insights, technical analysis, and AI-driven stock trend predictions. [](https://youtu.be/CeEysWsV8RQ?si=EXxjmzF3ofXJa7Q9) Workflow The Webhook node will receive image data from a macOS shortcut in Base64 format. The Convert to File node will convert the Base64 image into a binary file. The AI Agent node will process the binary image. It utilizes OpenRouter, Windows buffer memory, MarketStack, and the SerpAPI tool. Remember to use a model capable of processing images; otherwise, the workflow will throw an error. We use the MarketStack tool to fetch the latest stock data; however, it is rarely used. SerpAPI is used for market research, such as news and insights about stocks. Finally, the Markdown node converts Markdown to HTML. The response is then sent to the Webhook. Use Case Traders & Investors: Quickly analyze candlestick charts and identify trading opportunities. Financial Analysts: Automate chart interpretation and data aggregation for in-depth reports. AI & Automation Enthusiasts: Experiment with AI-driven financial workflows using n8n. Business Owners: Gain real-time stock insights to make informed investment decisions. Setup Instructions Install MacOS Shortcut Download the MacOS Shortcut provided with this product and double-click on it to install. If you don’t have the Shortcuts app (parent app) installed, first download it from the App Store, then follow Step 1. Set Up Workflow Import the n8n workflow provided with this product. Set Up Credentials 🔹Webhook Authentication Create an API key (you can use a key generation tool or simply use a custom string). Add the API key to your n8n Webhook and MacOS Shortcut. If you prefer not to use authentication, remove it from both the n8n Webhook and the MacOS Shortcut. 🔹OpenRouter API Setup Get a free API key from OpenRouter and add it to your workflow. Free API keys have usage limits. OpenRouter provides multiple models—ensure that the selected model supports image processing. 🔹MarketStack API Setup Get a free API key from MarketStack and use it in your workflow. Free API keys have usage limits. 🔹SerpAPI Setup Get a free API key from SerpAPI and use it in your workflow. Free API keys have usage limits. Disclaimer This tool is designed for educational and informational purposes only. The AI-generated insights should not be considered as financial advice. Users should conduct their own research before making investment decisions. AgentsOps is not responsible for any financial losses incurred from using this automation.
By Udit RawatAI-powered Upwork cover letter generator – Pinecone, Groq, Google Gemin, SerpAPI
[](https://www.youtube.com/watch?v=AqVSLj7qb2Q) 🚀 Automated Upwork Cover Letter Generator with n8n + MacOS Shortcut + Pinecone Context Retrieval This n8n automation is designed to streamline the Upwork proposal process by generating highly personalized, context-aware cover letters using your own skills and project data stored in a Pinecone vector store. With the help of an AI Agent powered by Groq’s Qwen LLM, and triggered instantly via a MacOS Shortcut, this system takes job descriptions from your clipboard and returns a ready-to-use HTML cover letter—right on your desktop. --- ⚙️ Workflow Breakdown 🔹 MacOS Shortcut – Trigger the Workflow Instantly The process begins with a MacOS Shortcut that captures job description text from your clipboard and sends it to a custom webhook in n8n. 🔹 Webhook Node – Receive and Process Input The webhook node receives the clipboard data, along with the required credentials for authentication. This node serves as the entry point to the full automation. 🔹 Field Mapping & Pre-Processing A series of basic logic nodes map and clean up the input fields. These are then passed to an LLM Chain to generate specific questions related to the job description. 🔹 Question Answer Chain + Vector Search (Pinecone) Using your previously stored skills and project data in a Pinecone vector store, the system retrieves relevant information to answer the generated questions and builds a rich context around the job description. 🔹 AI Agent Node – Generate Personalized Cover Letter With both the job post and contextual data, the AI Agent (powered by Groq’s Qwen LLM) creates a tailored cover letter. The agent is equipped with: 🔍 Google Search Tool 🧠 Vector Store Retriever Tool 🗃️ Buffer Memory This ensures the generated proposal is insightful, relevant, and professional. 🔹 Markdown to HTML – Clean Output Conversion The markdown output from the AI is converted into HTML using a Markdown node, making it easy to paste directly into Upwork or emails. 🔹 Return to Shortcut – Display Final Result The final HTML response is sent back to the MacOS Shortcut, which displays it in a modal window for easy review and copy-paste. --- 💼 Use Case This automation is built specifically for freelancers on Upwork (or any freelance platform) who want to: ✅ Save time on repetitive proposal writing ✅ Create job-specific cover letters with context ✅ Stand out with better personalization ✅ Reduce manual effort with automation Whether you’re a beginner or a seasoned pro, this tool elevates your workflow while staying simple to use. --- 📦 Setup Instructions Import Workflow to your n8n instance Create and Configure MacOS Shortcut (drag-and-drop ready) Prepare and Embed Your Skills/Project Data into Pinecone Add API Credentials: Groq (for Qwen LLM) Pinecone n8n Webhook (Basic Auth if needed) Run the Workflow & Submit Smarter Proposals > Note: This workflow is designed for building and returning Upwork cover letters using job descriptions copied to your clipboard. All generation is context-aware and tailored per submission.
By Udit Rawat