Hafiz Rehan@Rehan_5833

Job Finder System is a smart, automated solution built to streamline the job-search process by gathering job listings from various online platforms and presenting them in a clean, structured format. The system scans selected websites, extracts job information (such as title, salary, description, and company name), and filters results based on predefined criteria like skills, category, salary range, or location. The platform includes: Automated Web Scraping: Collects job postings from employment portals and company sites. Smart Filtering & Categorization: Sorts jobs based on relevance, skills, salary, or industry. Real-Time Updates: Frequently checks for new job opportunities and adds them to the system. User-Friendly Interface: Allows users to easily search, browse, or save job listings. Data Storage & Management: All job listings are stored in a database for fast access and tracking. This system reduces manual job searching and provides users with accurate, up-to-date career opportunities—making the job hunt faster, smarter, and more efficient.

The lablab_project is a full-stack experimental application that combines a modern TypeScript-based frontend with a Python backend. It demonstrates how client-side interfaces can seamlessly interact with server-side logic to deliver a smooth and complete web experience. The frontend, built with TypeScript and styled with CSS, manages user interactions and rendering, while the Python backend handles APIs, data processing, and integrations. This separation of concerns makes the project modular, scalable, and easy to extend. The system can serve as a learning tool for students and developers to explore full-stack development, or as a prototype for production-ready solutions. With its mix of UI design, backend logic, and cross-platform integration, it showcases the power of combining modern web technologies into a single working application.

This application implements a powerful, interactive PDF chatbot using a modern Retrieval-Augmented Generation (RAG) pipeline built with LangChain, OpenAI, and deployed on Vercel. Here's how it works step by step: 1. Upload and Process 1:The interface welcomes users to upload a PDF—drag and drop or browse. 2:On upload, the system processes the PDF: -->It extracts content, potentially splitting it into smaller, manageable text chunks (a common RAG strategy) 2:The tool leverages LangChain, a toolkit to orchestrate language model workflows: 1:It loads the document content. 2: Breaks it into chunks. 3:Deployment & Architecture -->The app is hosted on Vercel, offering edge deployment and serverless execution. -->LangChain orchestrates the logic, from ingestion to retrieval to generation.

⏱️ You’ve got 48 hours - create, build, and launch! 🌟 Get direct access to Qubic, mentors, and ecosystem support. 💰 Compete for your share of $44,550 in prizes across two tracks. 🤝 Work solo or team up to design the next wave of blockchain innovation. 🧑‍💻 Sign up and start building on one of the world’s fastest decentralized networks..

Leverage Orchestrate’s digital skills to design solutions that automate repetitive tasks, orchestrate workflows across tools, and empower employees to focus on high-value work. ⏳ Complete your project in just 48 hours and showcase your innovation. 🚀 Gain hands-on experience building with IBM watsonx Orchestrate. 💡 Develop practical AI agents that reshape the way teams and organizations operate. ⭐ Learn directly from experts who will support you throughout the event. 🤝 Team up or work independently to bring your vision to life. 💰 Prizes: $10,000 🧑🏻‍💻 Sign up before the Kick-Off Stream and start shaping the future with IBM watsonx Orchestrate!

In this hybrid hackathon powered by Arc, developers will build the next generation of payment systems using AI + Arc with USDC. Explore a world where AI agents can understand natural language, automate financial actions, and move money with precision. From DeFi to digital content and real-world assets, this is your chance to shape the future of intelligent finance. 📅 October 27 – November 9, 2025 • Oct 27 – Nov 8 (Online Phase) – Collaborate and build with developers and AI innovators from around the world. All projects must be submitted by end of day on November 8. • Nov 8 (New York City – On-site Build Day) – Selected participants will be invited to an exclusive in-person session to refine their projects and connect directly. • Nov 9 (New York City – Live pitching & Awards) – Live pitching sessions to a panel of judges and investors, followed by the official winner announcement. 📍 On-site Venue (Nov 8–9): Babe Ruth Room, Jay Conference Chelsea 159 West 25th Street, New York City, USA 🧠 Get guidance from blockchain and AI experts throughout the event. 🤝 Go solo or team up — it's your flow. 🏆Compete for $10,000 in USDC prizes. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑🏻‍💻 Secure your spot now — sign up before the Kick-Off Stream!