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About DeFiShield

🚀 Inspiration

DeFiShield was inspired by the growing need for smarter financial tools in the NEAR ecosystem. With DeFi evolving rapidly, we wanted a way to track staking and trading activities without constant manual oversight. AI-powered insights felt like the perfect solution to help users make better decisions in real time.

🛠 How We Built It

• Smart Contract & AI Integration: We leveraged NEAR AI to analyze transactions and provide actionable insights.
• Wallet Monitoring: Using the py-near library, we track staking and trading activities directly from the blockchain.
• Automation & Notifications: Our system sends AI-powered alerts via Telegram or email when important activities occur.
• Minimal UI: While the core functionality is AI-driven, we also designed a simple UI for users to customize alerts.

🎯 What We Learned

• AI can effectively categorize and analyze DeFi transactions, helping users make informed decisions.
• Efficient blockchain data fetching is crucial to prevent delays and optimize processing.
• User feedback is key: customized alerts make the experience more useful and engaging.

🚧 Challenges We Faced

• Real-time Data Processing: Ensuring that transaction tracking is both accurate and timely.
• AI Fine-Tuning: Making sure our AI provides relevant and actionable insights instead of generic responses.
• Security & Privacy: Handling private keys securely while enabling seamless wallet monitoring.

DeFiShield is just the beginning—this project has room to grow with more automation, DeFi integrations, and enhanced AI capabilities. 🚀

Built With

• asyncio
• asyncio-blockchain:-near-protocol-(mainnet/testnet)-ai:-near-ai-for-transaction-analysis-apis:-near-rpc-api
• near
• nearai
• py-near
• python
• rust-(for-smart-contracts)-frameworks-&-libraries:-py-near
• telegram-bot-api-(for-notifications)-cloud-services:-vercel-(for-optional-ui)
• vercel