DCA / Crypto Current News - Hackathon Submission
Project Name
[REDACTED]
(Declassified) AI-Powered DCA Platform: Intelligent Automated Investing on NEAR Protocol
Short Description
[REDACTED]
(Declassified) An AI-driven Dollar Cost Averaging (DCA) platform that automates crypto investments while delivering intelligent market insights. Built on NEAR Protocol, it utilizes smart contracts for automated DCA strategies, aggregates and summarizes crypto news using AI, and provides professional-quality audio delivery of market intelligence. The platform integrates seamlessly with a Telegram bot for real-time updates and control.
Inspiration
[REDACTED]
(Declassified) In the volatile crypto market, investors face challenges like information overload and emotional decision-making. This project addresses these issues by automating proven investment strategies through smart contracts and keeping investors informed with AI-curated market insights delivered in an accessible audio format.
What It Does
[REDACTED]
(Declassified)
- Automated DCA Strategy: Executes automated Dollar Cost Averaging investments using NEAR Protocol smart contracts.
- AI-Driven News Curation: Aggregates, summarizes, and enhances crypto news using AI to provide concise market insights.
- Audio Delivery: Converts summarized news into professional-quality audio broadcasts for easy consumption.
- Telegram Integration: Provides real-time updates and allows users to control their investments via a Telegram bot.
- Portfolio Monitoring: Tracks portfolio performance and market conditions, offering transparency and insights.
How It Was Built
[REDACTED]
(Declassified)
- NEAR Protocol: Leveraged NEAR's smart contracts for secure and efficient automated investing.
- AI Technologies: Implemented NLP models for news aggregation and summarization, and used text-to-speech for audio conversion.
- Flask Backend: Built a robust backend API using Flask to handle data processing and integrations.
- Telegram Bot: Developed a Telegram bot for user interaction, providing commands and notifications.
- Modular Architecture: Designed with scalability in mind, allowing for future enhancements and multi-token support.
Challenges Faced
[REDACTED]
(Declassified)
- Integrating AI with Smart Contracts: Bridging AI processes with blockchain smart contracts required careful design to ensure data integrity and efficiency.
- Real-Time Data Processing: Handling real-time news aggregation and summarization demanded optimization of AI models and processing pipelines.
- Audio Quality Optimization: Ensuring high-quality audio output for the news summaries involved fine-tuning text-to-speech parameters.
Accomplishments
[REDACTED]
(Declassified)
- Successfully combined AI and blockchain technologies to create a user-centric investing platform.
- Automated the DCA investment process, reducing emotional trading decisions.
- Provided accessible market insights through AI-driven audio broadcasts.
- Enabled seamless user interaction via the Telegram bot.
What Was Learned
[REDACTED]
(Declassified)
- The importance of user experience in financial applications.
- Advanced techniques in natural language processing and text-to-speech conversion.
- Best practices in smart contract development on NEAR Protocol.
Future Plans
[REDACTED]
(Declassified)
- Multi-Token Support: Expanding the platform to support automated investing in multiple cryptocurrencies.
- Enhanced AI Features: Implementing predictive analytics for market trends.
- Mobile Application: Developing mobile apps for broader accessibility.
- User Personalization: Allowing users to customize their news feeds and investment strategies.
Project Sustainability
[REDACTED]
(Declassified)
- Open Source: The project code is open source, encouraging community contributions and transparency.
- Scalability: Designed to handle increasing numbers of users and data sources.
- Monetization Potential: Opportunities for premium features, partnerships, and service integrations.
Impact
[REDACTED]
(Declassified)
- Empowers Investors: Simplifies investing while providing valuable market insights.
- Promotes NEAR Ecosystem: Encourages the use of NEAR Protocol and contributes to its growth.
- Bridges AI and Blockchain: Demonstrates the potential of combining AI with decentralized technologies.
Alignment with Hackathon Themes
Native Track | Best of AI
[REDACTED]
(Declassified)
- Combines AI and Web3 to enable a user-owned internet.
- Utilizes autonomous agents on NEAR and AI-enhanced explorers.
- Demonstrates innovation in AI-driven blockchain applications.
Native Track | Best DeFi
[REDACTED]
(Declassified)
- Provides an innovative solution in decentralized finance.
- Pushes the boundaries of DeFi with automated investing strategies.
- Enhances user experience with cross-chain functionality.
Repository and Demo
[REDACTED]
Built With
- base58
- beautifulsoup4
- borsh
- coffee
- css
- docker
- ed25519
- elevenlabs
- feedparser
- flask
- flask-cors
- gunicorn
- here-wallet-tg
- html
- httpx
- javascript
- ltx.studio
- near-wallet-selector
- openai
- playwright
- py-near
- py-near-primitives
- pydantic
- pydub
- python-dotenv
- python-telegram-bot==13.15
- requests
- rust
- schedule
- shell
- sqlalchemy
- typescript
Log in or sign up for Devpost to join the conversation.