
AI Trading Coach is an AI-powered trading assistant designed to help traders make better decisions through analytics, risk insights, and coaching. The platform provides a clean dashboard showing portfolio KPIs such as portfolio value, win rate, total trades, and risk score. It also displays recent trades in a structured table and allows users to interact with an AI Coach chat system. The AI Coach provides trading guidance, risk management suggestions, and performance analysis. If the backend becomes unavailable, the system automatically switches into demo mode using mock trade data to ensure uninterrupted user experience. This project is focused on making trading safer, smarter, and more disciplined by combining AI-based insights with real trading metrics. It is built for fast deployment and real-world usability.
7 Feb 2026

SwarmDeal is an autonomous AI-powered group buying assistant designed to explore the future of agentic commerce. Instead of manually searching products or coordinating with others, users simply describe what they want to buy in natural language. The AI agent interprets the intent, suggests group buying opportunities, and demonstrates how collective demand can unlock better pricing. The core idea behind SwarmDeal is automation of coordination rather than checkout. The agent conceptually matches users with similar interests, illustrates dynamic pricing as more participants join, and presents a seamless conversational experience. This demo focuses on UX, interaction flow, and agent reasoning rather than full payment infrastructure. In a production-ready version, SwarmDeal would integrate Gemini for advanced reasoning and decision-making, Circle Programmable Wallets for USDC payments, and Arc for on-chain settlement using agent-driven commerce standards. This prototype demonstrates how AI agents can mediate collective value and simplify complex buying processes through conversation-first design.
24 Jan 2026

Q-SecurePay is an AI-powered fraud detection system designed to bring real-time security, analytics, and automated protection to the Qubic blockchain. Currently, Qubic users face significant challenges: there is no risk scoring, no scam detection, and no protective layer before executing transfers. This creates opportunities for malicious wallets, phishing attempts, and accidental transactions that lead to irreversible losses. Q-SecurePay solves this by acting as a smart “Security Firewall” between the user and the blockchain. The system analyzes wallet activity, transaction patterns, behavior history, wallet age, transfer frequency, and reputation. Using this data, it generates a real-time Risk Score (0–100) that determines whether a transaction is safe, suspicious, or dangerous
7 Dec 2025

SmartOffice Orchestrator (OfficeGenix) is an AI-driven multi-agent office automation system built entirely with IBM watsonx Orchestrate. The project demonstrates how multiple agents, connected toolsets, and low-code workflows can combine to automate daily enterprise operations with high efficiency. The system uses four specialized agents: Calendar Events Manager Agent – Creates, manages, and organizes Outlook calendar events. Assignment Manager Agent – Handles HR operations such as manager assignment and employee position updates. Asset Manager Agent – Tracks IT and office assets, updates records, and retrieves configuration details. Sales Activity Manager Agent – Creates Salesforce tasks and events, counts activity items, and supports sales operations. With over 30+ integrated tools, SmartOffice Orchestrator automates workflows like: Scheduling meetings through natural language Updating HR assignment data Managing Salesforce tasks Tracking or updating office assets Accessing Google Drive and Outlook actions Generating real-time multi-agent collaboration Users interact with the system naturally by typing commands such as: “Create a meeting tomorrow at 10 AM”, “Update the manager assignment”, or “Add a Salesforce task for follow-up.” The system automatically selects the correct agent, triggers the required tools, and completes the task without any coding or external API keys. This project highlights how enterprises can use agentic AI to reduce workload, increase productivity, and modernize office operations with a fully no-code automation framework.
23 Nov 2025

EcoGuide AI Pro is an AI-powered eco travel planner that helps users design smart, sustainable trips with just a few inputs. The app collects the traveler’s profile, budget, days and interests, then uses Gemini and a small RAG engine built on curated CSV data (hotels, activities, places) to generate a personalized itinerary. Each plan includes a day-by-day schedule, eco-scores, cost estimates, carbon-saved approximation and simple reports such as time-balance, risk & safety and cost-leakage warnings. The UI is built with Streamlit and focuses on clarity: overview metrics, activities list, analysis tab, packing list and story tab. Even though some advanced features like PDF export and conversational chatbot are still experimental, the prototype already shows how AI can guide travelers toward greener choices in the Middle East.
19 Nov 2025

Arc Guardian AI Agent is an intelligent autonomous payment automation system built on the Arc framework using AI + blockchain. It securely analyzes and executes transactions such as payroll, P2P transfers, and DeFi payments using natural language commands. The agent audits every transaction, identifies anomalies, and generates a secure audit trail. It aims to simplify digital finance, prevent fraud, and bring transparency to decentralized ecosystems. The system is built using Python, Streamlit, and Arc API with USDC integration. It can also be extended for payroll automation, smart contract validation, and real-world asset tokenization.
8 Nov 2025

FinGuard is a smart AI-powered finance assistant designed to help individuals, especially students and low-income users, manage their expenses effectively. The app allows users to add daily expenses, categorize them, and instantly see spending summaries with visualizations like pie charts. It also provides intelligent saving tips by analyzing overspending trends, helping users make better financial decisions. Built with Streamlit, Pandas, and AI integration, FinGuard ensures a simple and user-friendly interface. Future improvements include CSV export, monthly filters, and secure login. This project demonstrates how AI can support financial literacy and empower people to take control of their money.
21 Sep 2025