
9
1
1 year of experience
I am Muhammad Arsalan, a Computer Science student at Sukkur IBA University, passionate about AI, ML, and creating impactful solutions. I have built projects such as a Face Recognition Automatic Door System (Flutter + Firebase + ML) and an Environmental Impact Analysis of Air Quality (ML). Currently, I am exploring Data Science, Deep Learning, NLP, and Transformer architectures. Skilled in Flutter, Firebase, React Native, JavaScript, and Python, I enjoy transforming ideas into real-world applications and collaborating with teams to develop innovative solutions.

In traditional finance, subscriptions are easy "set and forget" actions. In crypto, they are painfulโusers must remember to manually sign a transaction every single month for every service. If they forget, their service gets cut off. AgentPay solves this by combining AI natural language intent with smart contract automation on the Arc L1 blockchain. Users simply type a command like "Pay Spotify $10 every month" into our AI Command Bar. Our Natural Language Processing (NLP) engine decodes this intent, and our custom Solidity smart contracts (AgentPayScheduledPayments.sol) handle the recurring execution trustlessly on-chain. We chose Arc for its low fees and native USDC support, which makes micro-subscriptions finally viable in Web3. The project features a zero-friction demo mode that auto-signs transactions to instantly visualize payment flows for users.
8 Nov 2025