Techstack
Technology Stack
DORA AI is built on a state-of-the-art technology stack, combining cutting-edge blockchain, machine learning, and robust development frameworks to deliver a seamless and efficient AI-powered travel experience. Below is an overview of the technical components that power DORA AI.
Blockchain and Smart Contracts
Blockchain Platform: Ethereum for decentralized application deployment.
Layer-2 Scaling Solution: Base (Coinbase’s Ethereum Layer-2) to enhance transaction throughput and reduce costs.
Smart Contract Language: Solidity for writing and deploying smart contracts.
Token Standards:
ERC-20 for fungible tokens like $VIRTUAL.
Frontend (User Interface)
Frameworks:
Flutter: For cross-platform apps (web and mobile).
Bubble.io: Designed for activity suppliers to manage their offerings.
WebFlow: Customized interface for partners and integrations.
Backend (Logic and API Management)
Frameworks:
Firebase for API management and real-time data handling.
Recommendation Logic:
LoRA (Lower Ranking Adaptation) for user-based activity recommendations.
Authentication:
OAuth 2.0 for secure and seamless social logins (Google, Apple).
APIs:
Payment Gateway: Stripe for managing secure payments and bookings.
Weather API: Integrating OpenWeatherMap to recommend activities based on real-time weather conditions.
AI and Machine Learning
Frameworks:
TensorFlow for AI model training and inference.
Recommendation System:
Hugging Face embeddings for NLP-based user preference extraction.
Collaborative filtering via Matrix Factorization for recommendations.
KMeans clustering for grouping users with similar preferences.
Natural Language Processing (NLP):
Pretrained models from OpenAI (GPT) for conversational interactions.
NER (Named Entity Recognition) for extracting locations, preferences, and activity types from user input.
Real-time Personalization:
Contextual bandit algorithms to dynamically adapt recommendations.
Data Engineering and Storage
Databases:
Relational Database: PostgreSQL for structured data (user profiles, bookings, preferences).
NoSQL Database: MongoDB for unstructured data like search histories.
Storage: Google Cloud Storage for travel-related media (e.g., activity images, itineraries).
Infrastructure and Deployment
Cloud Platforms: Google Cloud Platform for scalability and reliability.
Containerization and Orchestration: Kubernetes for efficient deployment and scaling.
Load Balancers: Google Cloud Load Balancing to handle traffic efficiently.
Serverless Functions: Google Cloud Functions for lightweight tasks like webhook processing.
Model Serving and APIs
Model Serving: TensorFlow Serving, FastAPI, or NVIDIA Triton for efficient model deployments.
Real-time Inference: ONNX Runtime for low-latency AI predictions.
Chat Framework: Dialogflow for conversational AI interactions.
Maps and Geolocation
APIs:
Google Maps API for activity location visualization.
Google Directions API for route planning and navigation recommendations.
Security and Privacy
Encryption:
HTTPS for secure communication.
AWS KMS for encrypting sensitive data.
GDPR/CCPA Compliance:
Strict adherence to privacy regulations for handling user data.
Identity Management: Okta for secure identity and access management.
Monitoring and Analytics
Performance Monitoring: Prometheus for real-time system performance tracking.
User Behavior Analytics: Google Analytics and Amplitude for insights into user behavior and engagement.
Why This Tech Stack?
Our carefully selected technology stack ensures:
Scalability: Built for seamless global expansion.
Reliability: A secure and efficient infrastructure.
Real Utility: Providing unmatched experiences to users while ensuring token holders benefit from sustainable revenue generation.
With this robust stack, DORA AI is positioned to become a leader in AI-powered decentralized travel solutions.
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