Whitepaper v1.0 is the first of a series of Whitepapers that will be released in the near future to document different aspects of this project.
Development Progress Update:
With a focus on user experience and functionality, we are successfully building the first version of the Toshi Tool’s dApp. This version of the dApp will allow users to connect their wallets and view their wallet performance on their profile dashboard. Furthermore, on the overview page, users can search and view other top-performing wallets and can favourite trending wallets which they decide to follow.
The front end of the app is being developed using react while the backend is being handled with Django, a Python web framework. The Django framework will make use of Redis and Celery to provide constant up to date data. Below is a video of the front end of our app in action with our dashboard animations and basic data scraping in effect.
Below are screenshots of our front end html and javascript development code in progress:

.png)
In order to create personalized graphs, we use web-scraping techniques and data visualization libraries to extract and digest transaction data from the blockchain. The critical component is determining which specific data structures we want to extract for our use case. We are analyzing and interpreting the data by cleaning and organizing the data extracted, and sorting it into different categories. This sorting process requires mathematical functions to convert hexadecimal values into decimal values. These functions are used to perform statistical analyses to identify trends and patterns that can be visualized on a graph. Only after extracting and sorting the bulk data can we incorporate data visualization tools to create the charts that contain the metrics we aim to display.
We are continuously working on R&D with a team of experienced developers. Integrating AI technology into the dApp requires a lot of user testing. Extraction of market data using AI algorithm's includes feeding the AI technology with an immense load of information and playing around with its systems to understand the feedback we are getting. We are working closely with beta testers to gather information about the dApp’s functionality while focusing on its operational usability, design, and user experience.
Adding AI assistant:
We are excited to announce that we have incorporated an AI assistant into the Toshi app interface! This is a separate feature from our integration of AI into our machine learning algorithm for gathering and delivering data from the blockchain as previously documented in
whitepaper v1.
We are testing AI’s functionality by adding chat GPT-3 directly on the app. As of now, the release of this AI assistant on the Toshi app will allow users to only chat with GPT-3 AI. It is not incorporated with the functions of the Toshi app but will give users a taste of the benefits of accessing chat GPT-3. This addition will enhance user’s search functionality. Our team of developers is heavily testing the functionality of integrating the AI system with the Toshi app.
Below is a mockup of the interface of our first tests at implementing this feature:

This interface will be customizable with different AI bot skins