Dinesha Vishwanatha

FEE ADVISOR AI

Light vs Dark Dual UI Style guide specification for Developer handoff

Personalized fee recommendations based on user patterns and transaction history.

project reinforced the value of designing AI systems that are supportive, transparent, and deeply user-centric.

Web3 Gas Fee Intelligence Tool — Dual-mode UI • AI Predictions

A Web3 + Fintech product that helps users choose safe and predictable transaction fees.
Combines AI reasoning, predictive UX, and a dual-mode neon design system.

FEE ADVISOR AI - Use Case

This project focuses on designing an AI-powered Gas Fee Advisor that helps users understand, predict, and select the right gas fee inside a Web3 wallet. As Web3 adoption grows, users continue to struggle with unpredictable fee changes, unclear confirmation times, and confusing network traffic patterns. These issues often lead to failed transactions, user frustration, and loss of trust in the platform

Problem & Insight

Users face anxiety and uncertainty when sending on-chain transactions. Wallets expose raw blockchain metrics, not human-friendly guidance. The key insight: users need clarity, prediction, and reassurance, not raw data.

System Architect

Project Scope

Predictive UX + AI-driven explanations that reduce risk and cognitive load for crypto transaction users.

Fee Advisor AI uses on-chain signals + a prediction engine to suggest the appropriate fee tier (Slow / Normal / Fast / Turbo). It explains network conditions in plain language and warns users when a selection is likely to fail.

Solution Highlights

This work delivers a measurable improvement in user confidence and predictability when sending transactions. It’s a full-stack UX solution for Web3 payments.

Results & Next Steps

Network → AI Logic → UI Recommendation → Wallet Signer → Blockchain