Tikeetron by The Scammer Buster - "Revolutionizing Event Ticketing with AI and Blockchain"

TRON Hackathon Hackathon Season 7
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@ines_valerie Currently, one of our major challenges is synchronizing data between the blockchain and our off-chain database. We use the off-chain database to enable faster data querying. However, we manually sync the data after every successful transaction, which creates the risk of inconsistencies between the smart contract and the off-chain database.

We are planning to implement an event subscriber system to automatically synchronize data with MongoDB in real-time. However, I believe this solution might incur significant costs due to infrastructure and operational expenses.

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Hi @Prince-Onscolo Thank you for the question!

What makes Tikeetron stand out is our combination of AI and NFT-based ticketing. The AI integration provides personalized event recommendations and seamless ticket management through an easy-to-use chat interface, making the user experience more engaging and efficient.

And for the NFTs for tickets on the TRON blockchain, we ensure complete security and transparency, preventing fraud and enabling safe transfers. This gives both organizers and attendees more control over ticket ownership.

Weā€™ve already been in touch with some event organizers in Bali and Jakarta who are interested in collaborating. Weā€™re also in the process of learning about the legal aspects of event organizing in Indonesia. Once the app is ready for production, weā€™ll be open for more partnerships. Hopefully, we can collaborate in the future as well!

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When youā€™re saying significant cost what figure are you looking at, thank you

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Currently, implementing an event subscriber system is one solution I can think of to automatically synchronize data with MongoDB in real-time. Iā€™m looking at this documentation: Event Plugin Deployment (MongoDB).

That being said, Iā€™m open to exploring other solutions as well if you have any suggestions. Thank you!

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You are very much welcome

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alright for the AI part i agree and thatā€™s a good start, get more partners

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No I didnā€™t ask that. My question is, letā€™s say you created an event ticket and I bought it. Seeing your design, I copyrighted the same ticket to sell to users who may not be aware that the one Iā€™m selling is the copyright. How will you prevent this scenario from happening?

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Thanks for the valuable feedback! After reflecting on your question, I realized that itā€™s crucial to ensure that only legitimate organizers can create and sell tickets on our platform. To address this, we will be implementing a system where only verified event organizers who comply with our rules can sell tickets.

This way, buyers can trust that the tickets they purchase come from legitimate sources, reducing the risk of counterfeits or manipulated tickets being sold. Weā€™re continuously working to enhance security, and your input has been really helpful in shaping this direction!

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Ok, I am glad that could help. Want to see a system where no one loses their money to fake products. I will keep studying your project and come back with more suggestions

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Please consider the refund policy because we live in the time of emergencies and emergency situation may require an urgent attention which if it occurs, it will be unfair for the user that already got the ticket. Even if the refund doesnā€™t come in full, it is still better than having none

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Thatā€™s good, how are you going to educate users about the benefits of using blockchain for ticketing?

Again, what payment methods will you support. Stablecoins or TRX or any other token?

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You stated using AI but thereā€™s zero explanation of what kind of Ai model you use. how you train the model, nor explain the privacy for personalization identity you use.

I think everyone this day will state they use AI without providing detail but turns out it is just a bot or a fraud story telling using ā€œAIā€ terms

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Hi @Genz210, thank you for the feedback! We understand the importance of transparency when it comes to AI implementation.

Weā€™ve already defined our AI infrastructure in our GitHub repository, which is also linked in our Devpost portfolio. Our AI system leverages Llama3 for language understanding and uses a Retrieval-Augmented Generation (RAG) approach with MongoDB vectors for efficient event recommendations and ticket management.

Weā€™ll certainly take this as a cue to improve our documentation and whitepaper, providing more details on our model training, privacy measures, and how our AI functions beyond just a chatbot. Thank you again for the valuable input!

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Sure, thanks for your valuable feedback @Prince-Onscolo!

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Hi @Chizz, thank you for the thoughtful feedback. We understand that emergencies can arise, and having a flexible refund policy is important for both attendees and event organizers. While every event organizer on our platform sets their own policies, we appreciate your concern and will work towards offering a refundable option as part of our platformā€™s features.

This will allow organizers to choose whether they want to enable refunds, ensuring users are treated fairly in case of emergencies. Weā€™re also exploring solutions to handle refunds efficiently through our NFT-based system. Your input is valuable, and we will continue to improve in this area to make the process more flexible and user-friendly in the future.

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@Youngyuppie We understand that educating users about the benefits of using blockchain for ticketing is one of the key challenges, and I think not just for us but for the entire Web3 space. The decentralized nature of blockchain offers transparency, security, and eliminates ticket fraud, which are major benefits for event organizers and attendees alike. However, we recognize that many users are still unfamiliar with these concepts, and thatā€™s why weā€™re working on making the onboarding process as seamless as possible.

In terms of payments, while we currently only support TRX, we have plans to expand to other methods in the near future. We aim to support stablecoins and even fiat payments to make it easier for people unfamiliar with Web3 to use our platform. Tackling this challenge might involve incorporating fiat payment options to bridge the gap for non-crypto users, allowing them to enjoy the benefits of decentralization without needing to understand the underlying technology. This hybrid approach will help us provide a simple and accessible experience for all users.

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Greetings team Tikeetron and welcome to Tron Hackathon season 7. Your project is a unique one. This is the first of itā€™s kind am actually seeing in this platform and of course am fully interested in it.
Well I have few questions that needs clarity

*How will Tikeetron stay ahead of trends in the event ticketing industry, particularly regarding technological advancements?

*How will the AI assistant be trained to ensure accurate and relevant event recommendations for users because Iā€™ve not a particular AI model that you want to deploy?

*You said event tickets will be converted to NFTs and they are equally transferable. If am to attend a particular event and the NFT is my event ticket, When I get checked in, does the NFT for that particular event becomes invalid after use (check in) or another person can check in into the same event if transferred to the person?

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You are most welcome
Keep building

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Hehehe exactly my thoughts, we had lots them last season but none were nowhere to be found, but I hope it changes this so they take the advantage and excel , all the best to them

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I still find the use of ā€œAIā€ somewhat misleading. AI generally implies a broader capability, while a chatbot often lacks the flexibility to handle diverse topics. Users shouldnā€™t have to explain their interests to the system for effective personalization. Many e-commerce platforms use technologies like Algolia, which involve AI techniques, but they donā€™t need to explicitly label themselves as ā€˜AI-poweredā€™ or revolutionize system. If the personalization relies more on predefined algorithms or basic search capabilities, rather than advanced AI techniques, it might be better to avoid the term.

Unless you incorporate genuine AI capabilitiesā€”like machine learning for understanding user behavior or improving responses over timeā€”then it could be appropriate to use ā€œAI.ā€ AI personalization would automatically analyze user behavior without requiring direct interaction.

For example to truly revolutionize event ticketing with AI-powered, the system could leverage image recognition to identify tickets and events. Users could simply send an image of an event, and they would be redirected to the corresponding ticket store or if a user sends an image of a ticket, they would receive an explanation of the event.

or

By integrating with usersā€™ social media, it can analyze their interests and predict potential ticket preferences based on their feeds.

or

The AI could draft personalized schedules for upcoming events within a budget, recommending options that align with user interests.

Effective personalization must differentiate between live and static events, which requires continuous re-training and low-latency inference to ensure recommendations remain relevant. This approach will demand significant resources and should align seamlessly with the overall business model but I see little evidence of a clear business model in the current concept.

I think the suitable title for your current idea project is ā€œTokenized Ticketing with Chatbot,ā€ as it primarily focuses on tokenization via blockchain without the complexities of smart contracts for a marketplace yet. You can change and grow based on the progress later.

The idea that NFTs can prevent scammers is fundamentally flawed too. Scammers will always adapt, and introducing complexity through NFTs can make the system a more appealing target for them. Many users simply want a straightforward purchasing experience, but requiring them to navigate cryptocurrency transactions, determine which crypto to use, and validate the right NFT contract ticket, validate smart contract addresses adds unnecessary hurdles.

These complexities can lead to a poor user experience, creating more opportunities for scammers to exploit INEXPERIENCED users. Scammer donā€™t target expert, they target the beginner with lack of knowledge about the system.Simplifying the purchasing process would be a more effective approach to protecting users, or providing B2B solutions can help with Web3 adoption. In the end, you still need to secure partnerships with early providers for the ticketing system to gain traction, and that strategy doesnā€™t seem to be in your current progress