
15
10
Pakistan
1 year of experience
I am Sana Adeel, a passionate tech enthusiast and emerging AI developer from Pakistan. I enjoy building innovative solutions using Generative AI, Web3, and modern web technologies. I'm actively involved in hackathons, where I collaborate, learn fast, and turn ideas into working prototypes. My goal is to use technology to solve real-world problems and create meaningful impact.

**Autonomy when you want it, Control when you need it, Billing infrastructure for AI agents** AgentInvoice is a dual-mode agentic invoicing and escrow system designed for the next generation of autonomous commerce on Arc. It enables AI agents and humans to create, approve, escrow, and settle USDC invoices securely using trustless smart contracts and Circle infrastructure. The core innovation of AgentInvoice is its dual-mode payment architecture. In Autonomous Mode, AI agents can independently negotiate terms, generate invoices, lock USDC into escrow, and release payments once predefined conditions are met — without human intervention. This is ideal for agent-to-agent commerce, API monetization, and automated service marketplaces. In Manual Mode, enterprises and users can require human approval before escrow funding or release, providing compliance, safety, and governance while still leveraging the same on-chain infrastructure. AgentInvoice uses USDC as the settlement asset and executes all transactions on Arc, ensuring deterministic finality, transparent verification, and predictable fees. Smart contract escrow guarantees trustless execution, automatic refunds, and deadline-based releases. To support adoption, AgentInvoice includes a developer-first toolkit: SDK for integrating agentic billing into applications REST APIs for invoice creation, escrow management, and settlement CLI tools for developers and operators Monitoring dashboards for invoice and escrow lifecycle tracking This allows builders to easily add agentic payments to AI systems while giving enterprises the controls they need to safely adopt autonomous workflows. AgentInvoice bridges the gap between fully autonomous AI commerce and real-world business requirements, making agentic payments practical, secure, and production-ready.
24 Jan 2026

Qubic Sentinel is a real-time blockchain monitoring and alerting system built for Track 2 – EasyConnect Integrations. It continuously polls Qubic’s RPC endpoints, detects whale-sized token transfers, and instantly forwards alerts to any webhook-enabled platform—such as Discord, Slack, Make, Zapier, n8n, or Google Sheets. Designed for traders, analysts, and automation builders, Qubic Sentinel turns raw blockchain activity into actionable, real-time intelligence without requiring smart contracts. Key Features Real-Time Whale Detection Detects high-value QU transfers in live ticks and triggers alerts in under a second. EasyConnect Webhook Integration Works seamlessly with any EasyConnect-compatible webhook, enabling no-code automation workflows. Multi-Deployment Architecture React dashboard (UI for demos & visualization) PowerShell sentinel (Windows server monitoring) Node.js service (cloud deployment or Docker) How It Uses EasyConnect Qubic Sentinel sends structured webhook payloads directly to EasyConnect-compatible URLs. These payloads can be used to: Create Discord or Slack notifications Log whale movements into Google Sheets Trigger trading bots or AMM automation Update dashboards or market monitors Send Telegram or email alerts Chain workflows in Zapier, Make, or n8n This makes Qubic Sentinel a zero-code blockchain monitoring engine that bridges Qubic’s live blockchain data with the broader automation ecosystem. Why It’s Useful Traders monitor whale movements for sentiment and trend shifts DeFi teams track treasury or contract activity Analysts log big transfers for research Communities get real-time notifications Builders use it as a trigger engine for more complex automations The app turns raw blockchain events into instant, automated signals, empowering both developers and non-developers.
7 Dec 2025

The SME Loan Risk Meta-Validator is an end-to-end intelligent workflow designed to streamline and modernize SME credit assessment. It automatically ingests loan applications from spreadsheets, portals, and supporting documents, then extracts and normalizes key information using OCR and AI-driven field extraction. The system enriches each application with external credit bureau and sanctions screening data, evaluates data quality and consistency, and applies transparent rule-based checks to enforce lending policies. For eligible cases, an AI risk model produces nuanced risk and eligibility scores, which are combined with rules to determine whether to auto-approve, auto-reject, or escalate for human review. An agentic policy reviewer ensures alignment with credit policies, fairness guidelines, and regulatory expectations. Every application generates a complete audit artifact—including inputs, risk reasoning, rules fired, and review actions—providing full traceability for risk teams and regulators. This workflow improves decision accuracy, reduces manual workload, ensures compliance, and delivers a scalable, consistent framework for SME lending.
19 Nov 2025

AI Subscription Payment Agent on Arc is an autonomous, blockchain-based subscription system designed to simplify micropayments for content creators. Built on the Arc blockchain, it leverages native USDC for stable, on-chain recurring payments while minimizing transaction fees through Arc’s deterministic fee model. The system integrates Solidity smart contracts for subscription registration and automated payment execution, along with an off-chain AI agent that dynamically adjusts subscription pricing based on user engagement metrics. A web frontend allows users to manage subscriptions, monitor payments, and interact seamlessly with the AI-powered system. This project demonstrates the fusion of blockchain, AI automation, and real-world financial utility, offering a scalable solution for content monetization.
8 Nov 2025

QAaaS-MVP (Quality Assurance as a Service) implements the “Internet of Agents” concept by connecting multiple specialized AI agents into a cohesive system. Each agent performs distinct tasks—repository cloning, automated testing, code aggregation, and unit testing—while communicating through a central server for orchestration. This project demonstrates real-time agent registration, heartbeat monitoring, and task execution, allowing developers to automate QA pipelines efficiently. The modular architecture supports easy addition of new agents, integration with GitHub repositories, and optional Coral Studio monitoring. QAaaS-MVP showcases scalable AI-driven automation, making software development faster, more reliable, and smarter.
21 Sep 2025

CoachAI is an AI-powered personal assistant designed to simplify learning new applications. Users provide natural language instructions, and CoachAI automatically executes the actions on a virtual canvas while logging every step in an interactive transcript. Each step can be replayed on hover for better understanding, and the entire session can be exported as PDF or Word for later reference. By leveraging GPT-5 Agent Mode, CoachAI reduces the time and frustration associated with mastering new apps, empowering users to learn faster, more efficiently, and confidently. It’s scalable to any app, providing a seamless learning experience.
24 Aug 2025

HoloMentorX is an AI-powered contract auditing and mentoring platform built for the Qubic Track, combining the speed of Groq, intelligence of Meta’s LLaMA, and modular automation via Fetch.ai agents. It enables developers to submit smart contracts and instantly receive deep audits, vulnerability analysis, human-readable explanations, and automated tests. Our architecture supports: Groq-accelerated LLaMA inference for fast, detailed contract breakdowns. Fetch.ai-based agents to modularize tasks like auditing, testing, and summarization. A clean, React-based frontend + FastAPI backend for seamless UX. Multi-agent reasoning: multiple LLM calls work together to offer an audit decision and next action. HoloMentorX aims to solve the bottleneck of slow, expensive audits—enabling safer Web3 development for all.
8 Jul 2025

MYSTICA is a dynamic AI-powered quiz app designed to engage users of all ages in an interactive learning experience. By using a free AI key with limited requests, the app generates personalized quiz questions based on the user’s age and subject preference. With each question, users are presented with multiple-choice options and immediate feedback through sound effects and playful owl images, creating a fun and educational atmosphere. The app’s goal is to provide an entertaining yet educational tool that adapts to different age groups, helping users learn while enjoying a game-like environment.
1 May 2025

SereniMind – Your AI Companion for Calm, Clarity, and Support is a next-generation AI chatbot designed to provide a safe and supportive space for individuals experiencing mental health challenges. Unlike traditional chatbots, SereniMind remembers previous interactions, enabling users to have ongoing, context-aware conversations that feel more natural and human-like. The chatbot is powered by FastAPI (backend), React (frontend), and deepseek-r1 AI model, ensuring efficient, accurate, and empathetic responses. Users can start new conversations or continue existing ones, with each chat session being uniquely identified and stored securely. Key features include: - Context Retention: Ensures seamless back-and-forth communication. - User-Specific Conversations: Allows individuals to access past messages and continue discussions. - Fast & Secure: Optimized API responses with user authentication. - Scalability: Can be extended to support multimodal interactions (voice, image), multilingual AI, and sentiment analysis. SereniMind is not a substitute for professional help but serves as an empathetic companion that encourages self-care and emotional well-being. With future enhancements like therapist integration, sentiment tracking, and mobile accessibility, SereniMind aims to bridge the gap between AI support and human emotional needs.
16 Feb 2025