Adil Aijaz@adilaijaz10

FastEnd Agentic AI is a platform designed to solve the problem of "information overload" in modern workplaces. Instead of just a simple chat window, we have built specialized AI assistants (Agents) that handle specific, difficult tasks automatically. The platform solves problems in three ways: Document Intelligence: It reads through long, complex files (like legal papers or research reports) and finds the most important facts in seconds. Programming Assistant: It helps software developers by writing code, finding errors, and suggesting better ways to build apps. Team Simulation: This is our most unique feature. It lets you create a "virtual team" where different AI agents (like a Manager, a Designer, and a Developer) talk to each other to figure out the best way to solve a problem. Real-World Example (Software Industry): Imagine a software company starting a new project. Usually, humans spend days reading requirements and writing the first version of the code. With FastEnd, the "Document Agent" reads the requirements, the "Programming Agent" writes the starting code, and the "Team Simulation" checks if there are any mistakes before a human even starts. This saves time, reduces stress, and lets humans focus on the creative parts of the job.

Securing a fully funded graduate program or research assistantship is an incredibly manual and grueling process. Students spend countless hours scouring hundreds of university websites to find professors whose research aligns with their interests, only to send generic cold emails that often go unread or get marked as spam. Furthermore, candidates often apply blindly without knowing if their profile actually meets the lab's standards. AcademiaGenie solves this by acting as a highly personalized, AI-driven academic consultant. Powered by Google Gemini through Google AI Studio, the platform allows users to upload their CV and academic transcripts, which our AI agents instantly parse and analyze. The application features four main agents/capabilities: - Context Extraction & Deep Analysis: User uploads their CV. The system parses and understands their CGPA, technical stack, past research, and career goals then generates an "Analysis Dashboard" highlighting strengths, weaknesses, and academic standing. - Precision Matching: It dynamically searches for high-match professors and lab openings across global universities (filtering by government, semi-government, and private institutions), aligning the candidate's exact sub-niche with the professor's current research focus. - Personalized Cold Email Generation: Instead of generic templates, AcademiaGenie generates highly tailored, editable cold emails that contextually reference the target professor's latest work and explicitly connect it to the candidate's unique skills and experiences. - Strategic Improvement Roadmap: The AI evaluates the user's profile against their target opportunities and generates a step-by-step, actionable roadmap to bridge any skill or publication gaps before they apply. By utilizing multi-agent workflows, AcademiaGenie transforms the scattered, anxiety-inducing graduate application journey into a structured, highly targeted, and successful endeavor.

FinContract AI addresses the complexities and dangers of financial trading contracts. Retail traders and small brokerage firms often face hidden risks in lengthy agreements, such as unfair liquidation rules, hidden fees, and aggressive leverage terms that can lead to significant capital loss. Additionally, navigating constantly evolving regulations across jurisdictions like the UK (FCA), UAE (SCA), Malta (MFSA), and Cyprus is challenging, resulting in non-compliance and hefty fines. High legal costs further exacerbate the issue, as hiring experts for reviews or disputes is expensive and time-consuming. Our solution is a 24/7 AI-driven platform that democratizes legal expertise. It features six powerful tools: 1) Trading Contract Risk Scanner: Detect leverage risks, fraud-prone clauses, and compliance gaps in real-time. Red flags and suggestions in seconds. 2) Generate Compliant Trading Agreements: Create compliant NDAs and client contracts for trading partners and finance ops. 3) Query Regulatory Risks: Ask: 'Is this CFD clause compliant under Malta law?' Get instant regulatory guidance. 4) Risk Trends & Predictive Suggestions: See contract risk over time with Risk Trends plus AI predictive suggestions and monitoring rules to prevent issues early. 5) Jurisdiction-Specific Trading Rules: EU MiFID, UAE SCA, FCA, CFTC, Malta – get rules and clause suggestions by region. 6) Regulatory Radar & Audit Log: Track evolving regulations, stale analyses, and every action in an audit-ready log – with one-click re-analyze when rules change. Built for accessibility, users can upload contracts via our web app for instant insights. This levels the playing field against larger institutions, making trading safer and more equitable.

The Problem: By 2026, millions of autonomous AI agents will be performing complex tasks, yet they remain "unbanked." Traditional finance requires human KYC, physical IDs, and FICO scores, making it impossible for an AI to access credit or liquidity without full collateral. The Solution: RSoft Agentic Bank is a decentralized banking infrastructure designed specifically for the machine economy. Instead of relying on human trust, we rely on cryptographic verification and mathematical risk assessment. How it Works: Our architecture is powered by a LangGraph Multi-Agent System composed of five specialized nodes: - The Gatekeeper: Performs "Know Your Agent" (KYA) checks using DIDs and on-chain history. - The Analyst: dynamic credit scoring using the Reverse Kelly Criterion, allowing for sub-collateralized loans based on agent reputation. - The CFO: Manages treasury liquidity and yield optimization using USDC. - The Settler: Executes atomic settlements on the Arc L1 Network and validates Google’s AP2 (Agent Payment Protocol) mandates to prevent unauthorized debt. - The Auditor: Logs immutable compliance records on Supabase. Why it matters: We are building the financial rails for the agentic future, ensuring that autonomous software can securely borrow, invest, and transact with "trustless" authorization.

Qubic Auto-Tracker is a tool that watches any Qubic wallet the moment money moves. As soon as a transaction happens on a your wallet, EasyConnect sends an alert, and our Make setup catches it instantly. It pulls the latest transaction details and owned assets from the Qubic network and puts everything neatly into two Google Sheets. The first sheet shows the wallet’s recent transactions with balance, when it was last updated, and a short, AI summary is generated, for example: “This wallet just received 300 QUBIC and now has 1,550 total”. The second sheet lists everything else the wallet owns like, QXMR shares, NFTs, tokens, one line per item. The AI adds a quick plain-English line for each, like “They own 1,610 QXMR shares” or “This person has 5 rare collectibles.” Both sheets stay fresh all day long, add nice colors and tiny charts, and you never have to do anything yourself. It just runs quietly in the background and tells you what’s happening in normal, easy words. Perfect for anyone who wants to keep an eye on Qubic wallets without any hassle.

Moodle Agent is an AI-powered academic assistant designed to improve the learning experience by connecting WhatsApp with Moodle in a seamless and intelligent way. Students can interact through WhatsApp, their most familiar communication platform, while the agent retrieves real-time information from Moodle such as deadlines, assignments, grades, upcoming activities, and course content. Using LLM reasoning, Moodle Agent delivers clear explanations, personalized guidance, and instant answers to academic questions. The system supports students with reminders, progress summaries, and context-aware assistance 24/7. It reduces repetitive workload for instructors and enhances accessibility for students who may struggle with digital platforms. Built with FastAPI, LangGraph/LangChain, Moodle REST API, and WhatsApp Cloud API, Moodle Agent demonstrates how AI agents can modernize education and provide meaningful impact for learners in developing regions. The solution is scalable, modular, and adaptable to any LMS environment.

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.

⏱️ Build the next generation of Autonomous Agents in the heart of Europe’s AI Revolution. 📅 May 13 – 20, 2026 May 13 – 19: Online Build Phase. May 19: An exclusive on-site build day at Milan AI Week for selected participants. May 20: Awards Ceremony. 📍On-site Venue (May 19–20): Fiera Milano (Rho), Milan, Italy 🤝 Join solo or with a team. 🎟 FREE Milan AI Week conference ticket included for participants. 💰 $32,000+ prize pool 🧑‍💻 Apply now to turn your autonomous agent into a market-ready enterprise solution.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.