Proposal details
Project Name
IoTeX Analytics UI Dapp
Project Type
Infra & Dev Tools
Proposal Description
Introduction
oT (Internet of Things) devices have become an integral part of our daily lives, and the amount of data generated by these devices is growing rapidly. The need to process and analyze this data has led to the emergence of new technologies, such as blockchain and decentralized applications (Dapps). One such technology is IoTex, a blockchain platform specifically designed for IoT devices.
IoTex offers a secure and decentralized way to store and process IoT data, and its unique architecture allows for high-speed and low-cost transactions. To fully utilize the capabilities of IoTex, a user-friendly Analytics UI Dapp is needed that can provide easy access to the data and insights generated by IoT devices.
The proposed IoTex Analytics UI Dapp aims to provide users with a simple and intuitive way to analyze and visualize IoT data on the IoTex blockchain. By leveraging the power of blockchain technology, the Dapp will enable secure and tamper-proof data analysis, while also providing real-time insights into the performance and behavior of IoT devices.
The Dapp will feature a customizable dashboard that can be tailored to the specific needs of different users, and will support a range of analytical tools and visualization options. Users will also be able to set up alerts and notifications based on specific data thresholds or anomalies, allowing for proactive management of IoT devices.
In summary, the proposed IoTex Analytics UI Dapp has the potential to revolutionize the way we interact with IoT devices and the data they generate. By providing a user-friendly and secure platform for IoT data analysis, the Dapp will empower users to make informed decisions and take proactive measures to optimize the performance of their IoT devices.
Objectives
The objectives of building this dapp include:
- Enhance Data Accessibility: The primary objective of this Dapp would be to provide users with easy access to the data generated by their IoT devices. The Dapp would allow users to monitor and analyze data in real-time, providing them with insights into the performance and behavior of their devices.
- Increase Data Efficiency: The Dapp would enable users to analyze data more efficiently, by providing them with tools to filter, sort, and visualize data in meaningful ways. This can help users to identify patterns and trends more easily, and make informed decisions about how to optimize the performance of their IoT devices.
- Customizable Dashboard: The Dapp would allow users to customize their dashboard to suit their individual needs. This can include selecting which data points to monitor, setting up alerts and notifications, and choosing from a range of analytical tools and visualization options.
Milestones
[ Split your project into milestones: each one must have its own verifiable deliverables]
- Milestone 1:
- Duration (weeks): 2 week
- Deliverables (make sure they can be easily verified): Wireframes, mockups, and design documents for the IoTex Analytics UI Dapp.
- Funds request (USD): 2,500 USD
- Milestone 1:
- Duration (weeks): 8 weeks
- Deliverables (make sure they can be easily verified): Development & deployment of Dapp on testnet, with the implementation of basic analytical features such as real-time data visualization, filtering, and sorting, as well as dashboard creation.
- Funds request (USD): 10000 USD
- Milestone 1:
- Duration (weeks): 4 week
- Deliverables (make sure they can be easily verified): Testing and deployment of the Dapp on IoTex mainnet, and a thorough user acceptance testing (UAT) process.
- Funds request (USD): 2500 USD
Total funds requested
[ 15000 USD ]
Please checkmark the following if you agree
Although these options are not mandatory, please consider committing to them for the greater benefit of the IoTeX ecosystem.
- We commit to open source the project: [ YES]
About your Team
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Nate Mamman (Team Lead): Software developer, technical educator, & entrepreneur with 14 years of professional experience. oiclid (oiclid) · GitHub
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Afekhide Gbadamosi (Developer): developer, designer, and teacher. Wishes to solve problems in the world starting from his immediate environment. daaef (Afekhide Gbadamosi) · GitHub
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Ehigie Ikpea (Developer): an enthusiastic engineer with strong command in Java, Golang, JavaScript, ReactJS, MySQL, Machine Learning, and Cloud Engineering. He is a consistent learner and can adapt to new technologies. He possesses strong communication and team management skills. EhigieO · GitHub
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Janet Ishola (Developer): Professional software engineer expert in translating basic client requirements into technical development plans with a background in working productively in dynamic environments. Proficient in basic and advanced programming languages with extensive web application design and development knowledge. isholajanet (Janet Ishola) · GitHub.
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Iseoluwa Fasoyin (Developer): goal-oriented, focused young developer aspiring to make an indelible impact through technology. iseoluwaYN (Iseoluwa Fasoyin) · GitHub
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Bernard Akure (Data Analyst): data and Web3 enthusiast, transitioning into tech to join the global team of professionals proffering data-driven business solutions. https://www.linkedin.com/in/bernard-akure-109624123/
Metrics
We hope to generate 10,000 users of the app within the first 6 months of deployment.
Links
[If applicable, please provide relevant links about your project]
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