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Backpacker

Backpacker

Backpacker is a revolutionary travel platform that transforms user reviews into valuable tokens while building a privacy-first recommendation system. By contributing authentic travel reviews, users earn our native tokens that unlock exclusive discounts with our partner network of hotels and airlines. What sets us apart is our innovative approach to AI - users' detailed feedback remains private on their devices, training local AI models that contribute to a global federated learning system. This decentralised intelligence powers our smart travel chatbot, delivering personalised itinerary recommendations without compromising user privacy. Through this unique ecosystem, we're creating a win-win environment where travelers are rewarded for their insights while helping build a more intelligent and personalised travel planning experience.
Hackathon ProjectOther

Team

Raihan Khan
raihankhan
Sayak Sarkar
iamsayak
Risavdeb Patra
needleisbuilding
Soham Sengupta
pablo1106

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About Backpacker

Core Development Journey Backpacker was built using a modern web3 stack centered around Next.js for our frontend and Node.js for backend operations. We chose JavaScript as our primary programming language to maintain consistency across the stack, while Solidity powers our smart contracts for NFT minting and rewards distribution. This combination allows us to deliver a seamless user experience while maintaining the decentralized nature of our platform.

Key Partner Technologies and Their Impact

We integrated Storacha for IPFS file uploads, ensuring all review content and media are stored in a decentralized manner Dynamic handles our user authentication, significantly reducing the complexity of web3 onboarding and making our platform accessible to non-crypto natives Blockchain Infrastructure

Flow blockchain was our choice for smart contract deployment due to its lower gas fees and faster transaction speeds This decision proved crucial for making our NFT rewards system economically viable for users AI and Communication

Cartesi powers our federated learning model deployment, enabling complex machine learning operations in a decentralized environment XMTP integration drives our chatbot functionality, leveraging their message kit for secure, decentralized communications

What's next

We aim to build out the federated learning system by introducing a more sophisticated averaging model and make it run on mobile devices. We are working on rebuilding the UI and bolstering the overall connective tissue of the project by improving the integration of the chatbot and the underlying model. I believe this is the future of travel and a good showcase of how large AI systems can be built today without compromising on the fundamental tenets of user privacy and security.

Project founded on: Nov 27, 2024
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