ASSUREFI - Securing Trust in Decentralized Finance

Smart Contract Audit (feature -1)
Liquidity Analysis ( Feature -2)
Cryptocurrency Market Analyze cryptocurrency sentiment and trends
Risk Analysis
Wallet Analysis Analyze the contents, transactions, and risk profile of any wallet

🧠 Inspiration

The decentralized finance (DeFi) world is booming—but with rapid innovation comes increasing risk. We were frustrated watching genuine investors lose money to rug pulls, scam tokens, and malicious smart contracts. Drawing inspiration from traditional financial safeguards and the power of AI, we set out to bring trust, transparency, and protection to DeFi—without compromising decentralization.

🚀 What it does

AssureFi is an AI-powered security layer for DeFi ecosystems. It safeguards investors and protocols by automating contract audits, enforcing liquidity locks, monitoring real-time on-chain activity, and generating decentralized trust scores.

Think of it as an AI auditor + watchdog + DeFi credit bureau—designed to help investors spot red flags before it’s too late.

🔐 Key Features:

AI-based smart contract vulnerability detection using NLP-enhanced code scanning
Liquidity lock enforcement, detecting unlocked or time-manipulated pools
On-chain monitoring for whale wallet movements and unusual trading patterns
Crowdsourced fraud reporting via community signals and flags
Decentralized trust scores based on on-chain & off-chain risk signals
Insurance framework for affected users based on smart contract scoring

🛠️ How we built it

Formed a cross-functional team with expertise in AI, smart contracts, full-stack development, and product
Used LangChain and Gemini APIs to build an NLP-powered smart contract risk analyzer
Developed frontend using React, TypeScript, and TailwindCSS
Built backend with Flask (Python) integrated with AI and rule-based risk scoring logic
Used Web3.js and Ethers.js for blockchain interaction and contract analysis
Created SNS scrapers for Telegram and Twitter to collect real-time sentiment signals
Combined AI models with heuristic rules for intelligent and adaptive risk detection
Integrated a real-time notification system for live contract risk alerts
Designed UI/UX with Figma for an intuitive, minimal, and responsive experience
Deployed on Vercel and used IPFS for storing decentralized flagged audit data

🚧 Challenges we ran into

Balancing decentralization with trust enforcement without introducing central authority
Fine-tuning Gemini’s LLM to understand Solidity’s dynamic structures and edge cases
Designing a UI that caters to both technical and non-technical DeFi users
Ensuring that live monitoring remains scalable and real-time under heavy on-chain activity

🏆 Accomplishments that we're proud of

Built and launched a full-featured AI-powered contract auditor within 24 hours
Seamlessly integrated AI, Web3, and social intelligence into a working MVP
Designed a clean, interactive dashboard that simplifies complex DeFi risk data
Enabled real-time alerts on smart contract vulnerabilities and whale movements
Delivered a project that directly tackles a real-world problem in the DeFi space

📚 What we learned

How to combine LLMs like Gemini with Solidity for smart contract analysis
The role of trust and verification systems in decentralized ecosystems
Managing full-stack development in a cross-functional team under tight deadlines
Working with Ethers.js, Chainlink, IPFS, and decentralized notification systems
Designing security tools that empower rather than overwhelm DeFi users

🔮 What's next for AssureFi – Securing Trust in Decentralized Finance

Launching a browser extension for live contract scanning before transactions
Partnering with DeFi platforms to embed AssureFi into user onboarding flows
Expanding AI capabilities to offer investment-grade dynamic risk scores
Introducing a community beta with a DAO for crowdsourced audit voting and insurance
Supporting multi-chain auditing for Ethereum, Polygon, Arbitrum, and more

Built With

Submitted to

MIT Bitcoin Hackathon: Freedom Tech

Created by

Business | Communication | Pitching | Research | Management | Design & Innovation-Focused Study Expert

Dhruvaraj Nikam
Visionary Leader | Harvard ALP '24 | WR Holder | 6x Nat’l Hack Winner | Global Hack Champ | Entrepreneur | Aspiring Biz Analyst
Done

Sandesh Khilari
As part of the team, I contributed to two key areas of the project: Frontend Development and Sentiment Analysis integration.
1. Frontend Development
I was responsible for designing and building an intuitive and responsive user interface using React.js and Typescript. This included:
Creating components for audit report display, trust score dashboard, and user feedback submission.
Integrating real-time data using API calls from FastAPI backend.
Ensuring a seamless user workflow to search blockchain data, view scam detection alerts, and access AI-generated smart contract analysis.
Maintaining responsive UI/UX that adapts across devices and gives users clear visibility into project risk levels and alerts.
2. Sentiment Analysis
I implemented a sentiment analysis pipeline using OpenAI/Gemini models to process:
Community discussions from Telegram and Twitter to detect user sentiment around specific DeFi tokens or projects.
Integrated the results into the Trust Score metrics, contributing to the project’s transparency and fraud detection features.
Displayed sentiment trends in the dashboard to assist users in making informed investment decisions.

Hrutvik Khatkar
Pradeep Misal
Ashitosh Katale
Ganesh Ghadge
Secure