Great to see you, DataVoyagers!
TroniQue looks like a fantastic tool for making TRON blockchain data more accessible.
I’m curious about your approach to data visualization—what types of visual formats do you plan to implement to make complex data easier to digest for users?
Also, how do you ensure that the visualizations remain user-friendly for both newcomers and experienced users?
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Thank you for the warm welcome and your support! We’re really excited about TroniQue’s potential to simplify TRON blockchain data.
Regarding user feedback, we plan to keep it at the core of our ongoing improvements. After the launch, we are planning to have multiple feedback channels in place, including in-app surveys, direct feedback forms, and a dedicated section in the TRON DAO forum for users to share their thoughts. This feedback will help us continuously refine and enhance TroniQue based on user experiences and suggestions.
Your input will be incredibly valuable as we move forward!
Thank you for the great questions!
For data visualization, we’re focusing on clear and intuitive formats like bar charts, line graphs, and pie charts to present complex TRON blockchain data in a digestible way. These visualizations will help users easily spot trends and analyze data at a glance.
To ensure user-friendliness, we’re designing the interface to be responsive and simple enough for newcomers, while offering more detailed insights for experienced users.
Thanks again for your interest!
Fantastic work on TroniQue! The platform is doing an amazing job of making TRON’s blockchain data more accessible and understandable for everyone. I’m curious to know more about how the flow of the project works—how does the platform retrieve, process, and present the data to users in such an intuitive way? Could you walk us through the steps involved from query to visualization?
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Your vision with TroniQue to simplify blockchain data and make it accessible to everyone is truly inspiring! Tackling the complexities of the Tron ecosystem and transforming them into easy-to-use insights is no small feat, and you’re doing an incredible job. Remember, every great innovation starts with a bold idea, and you’re already creating something impactful for the entire blockchain community.
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Thank you so much for your kind words and interest in how TroniQue works! I’d be happy to walk you through the flow.
When a user asks a question or makes a query, TroniQue first processes it using natural language processing (NLP) techniques to understand the intent behind the request. We use sentence transformers model to generate embeddings of the user query and match it against relevant data from our datasets (like smart contract statistics, DEX trades, or forum discussions).
Once the query is understood, our system retrieves the relevant data from our integrated sources—whether it’s from TRON DAO forums, DEX trade data, or contract statistics. This data is preprocessed to ensure it’s clean, accurate, and ready for analysis.
After retrieving the data, we run it through LLM model to generate a clear and concise response. If the user request involves visualizations, TroniQue presents the data in easy-to-understand graphs to help users grasp complex information quickly.
The goal is to make the whole process smooth, so users can simply ask questions and get their answers, without needing to dive into complex technical details themselves. We are continuously working to optimize this flow for speed and accuracy to improve the overall experience.
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Hello TRON Community!
We’re excited to share a new demo video showcasing the Tokens Dataset within TroniQue!
In this demo, you’ll see how TroniQue allows users to easily explore and analyze token data on the TRON blockchain. Our AI-powered platform provides insights into token transactions, distribution, and more, all in an easy-to-understand format.
Watch the Demo Here: https://youtu.be/FgijU2NjbEY
We’d love to hear your thoughts! Your feedback will help us continue improving TroniQue to serve the TRON community even better.
Thank you for your support!
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Nice to see TroniQue improving for Hackathon Season 7! I’m really interested in how you added DEX trades, smart contract analysis, and forum discussions together—it’s a full solution for Tron blockchain users. How will you make sure it stays fast when data gets bigger?
Thank you for your kind words and interest!
To maintain TroniQue’s speed as the data grows, we use sentence transformers to generate embedding vectors for the dataset, which are stored in a FAISS (Facebook AI Similarity Search) index. This allows for fast and efficient similarity searches. We’re also exploring ways to optimize this further or consider alternative solutions that may offer even better performance.
Thank you for the great explanation !
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TroniQue sounds like an incredibly useful tool for making Tron blockchain data more accessible to everyone.
What are your thoughts on adding a feature that lets users set custom alerts for specific data trends or smart contract activities, making it even easier for them to stay updated in real-time?
Wish you all the very best!
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Thank you for your thoughtful suggestion and support!
We agree that custom alerts for data trends or smart contract activities would be a valuable feature. While we’re not currently working with real-time data, this is definitely something we have in mind for future updates. As we continue to evolve TroniQue, we’ll explore how to integrate more dynamic, real-time elements like alerts to help users stay informed effortlessly.
Thanks again for the great idea, and we appreciate your well wishes!
Hello team TroniQue, after taking time to study your project I have a few questions for you;
- Apart from data from DEX trades and Tron forum, is there any additional source you plan to integrate into your platform?
- Since you will be sourcing data from Tron forum, how will you ensure that all data gotten from the forum are accurate before supplying it to your users?
- In times of data inconsistency, what mechanics will you implore to handle the error and ensure the conformity of such data before providing it to your users?
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Hello TRON Community!
We’re thrilled to share that TroniQue has advanced to the next round in HackaTRON Season 7! 
A huge thank you to everyone for the incredible support and feedback that’s helped us reach this milestone.
To make TroniQue even better, we’ve recently improved our model to handle more analytical queries. This improvement enhances how you interact with Forum Discussions, DEX Trades and Contract Statistics data, providing clearer answers to your in-depth questions. Here’s the sample demo of how much it has improved for the Topics dataset :
We’re now in the community voting phase and would love your support to help us move forward. Your votes can make a huge difference!
Thank you once again for being part of our journey. We’re excited to continue making TRON insights more accessible for everyone!
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Thank you for exploring our project and for your thoughtful questions!
Alongside DEX trades, TRON forum data, and Contract statistics data, we’re looking into adding more data sources, such as TRON’s documentation and DeFi protocols, to deepen TroniQue’s insights. Regarding data accuracy and handling inconsistencies, we ensure all information is sourced from trusted sources like the TRON blockchain and TRON DAO forum. Our model is designed to avoid generating responses when there isn’t sufficient data or context, minimizing inaccuracies. We’re also committed to continuous optimization to make TroniQue even more reliable.
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Congrats @Thunder035 @sky @skprobo108 @Mary17 
I check the submission in season 6 and now and is a huge difference.
Your project looks and works smoothly. I think you are working on train model and not on real time data but still is an amazing project 
When typing more questions it goes up although it should not.
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Thank you so much for noticing the progress we’ve made since Season 6! We’re thrilled to hear that you find TroniQue’s improvements noticeable and that the experience is smooth. You’re absolutely right—we’re currently focused on enhancing our model’s performance with a pre-trained dataset rather than real-time data. We’re aiming to make it as effective and user-friendly as possible with what we have now.
Appreciate your feedback about the questions UI going up; we’ll look into this to ensure a smoother experience. Thanks again for your support and insights! 
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Ok thank you for your answers
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And another thing that I forgot to mention is that the video submission is well… You spent a lot telling how to connect with Tronlink …
In 3 minutes you could explain more other more important feature. I mean think that are a lot a projects and the video submission is your business card. Take care more as would be bad not to get the necessary attention due to bad presentation. That is for you more to take more attention to that.
As per rule is around 3 minutes but if you summarize it even if it goes a bit longer as long as you provide a good explanation it would be better.
That is just my opinion!
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Thank you so much for the constructive feedback! We truly appreciate your perspective on maximizing the impact of our demo video, especially with so many great projects around.
We understand how important it is to focus on core features within the video’s time limit. That’s exactly why we created separate videos for each category, each showcasing specific functionality in more detail, and have shared them here. We’ll continue to refine our approach to ensure our future videos highlight the unique strengths of TroniQue right from the start.
Thanks again for sharing your thoughts—they’re invaluable to us!
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