Remostart: Artificial Intelligent Hiring Agent Using Cardano

[GENERAL] Name and surname of main applicant

Ubio Obu

[GENERAL] Are you delivering this project as an individual or as an entity (whether formally incorporated or not)

Entity (Incorporated)

[GENERAL] Please specify how many months you expect your project to last (from 2-12 months)

6

[GENERAL] Please indicate if your proposal has been auto-translated into English from another language.

No

[GENERAL] Summarize your solution to the problem (200-character limit including spaces)

We are integrating the dynamism of Artificial Intelligence with the transparency and energy efficiency of Cardano to build an AI agent who takes efficient/unbiased interviews on behalf of companies.

[GENERAL] Does your project have any dependencies on other organizations, technical or otherwise?

No

[GENERAL] If YES, please describe what the dependency is and why you believe it is essential for your project’s delivery. If NO, please write “No dependencies.”

No Dependencies

[GENERAL] Will your project’s output/s be fully open source?

Yes

[GENERAL] Please provide here more information on the open source status of your project outputs

The project will be fully open sourced, MIT licence

[METADATA] SDG rating

SDG goals:

Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all

Reduce inequality within and among countries

SDG subgoals:

By 2030, empower and promote the social, economic and political inclusion of all, irrespective of age, sex, disability, race, ethnicity, origin, religion or economic or other status

Implement the principle of special and differential treatment for developing countries, in particular least developed countries, in accordance with World Trade Organization agreements

By 2030, achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal value

By 2020, substantially reduce the proportion of youth not in employment, education or training

Key Performance Indicator (KPI):

Unemployment rate, by sex, age and persons with disabilities

Proportion of youth (aged 15–24 years) not in education, employment or training

Proportion of people living below 50 per cent of median income, by sex, age and persons with disabilities

Universal Human Rights Index (UHRI):

#proposertoolsdg

[SOLUTION] Please describe your proposed solution.

Definition of Terms:

• Human hiring systems refers to the practice where humans are in charge or control of the hiring processes, from the writing of the job description to the screening of CVs, to taking of interviews to preselection and selection of candidates on behalf of organizations.
• Whenever I use the term AI in this proposal I am referring to Artificial Intelligence
• NLP refers to natural Language processing, in a layman term in Artificial intelligence refers to where a machine is able to process and deduce significant information and generate as well as use information the way humans use their language
• Word Token: Refers to the amount of words an AI can write,; it's the matching of text to numbers in a model

The Problem

According to a recent Harvard report persons of color stand a 45% chance of getting hired if their backgrounds and demographics are excluded from the screening and hiring processes. This report only shows the inefficiencies that exist in human hiring systems.

In a recent research paper that I, a team of Remostart employees and some college professors published on behalf of Remostart, titled

; "Blockchain System Against Gender Bias and Other Discriminatory Practices in Workplaces," 2023 IEEE 3rd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET), Mysuru, India, 2023, pp. 1-6, doi: 10.1109/TEMSMET56707.2023.10150193.

One thing that struck our team in this research was how many women and other quality talents did not make it to the accepted list when the HR had info on their backgrounds as opposed to when we did a blind process using blockchain, we also discovered high resource cost, time consumption and a lot of ambiguities with the human hiring and interview systems.

This research among other similar research work shows that something is fundamentally wrong with human hiring systems, especially interview systems that revolve around humans.

How can we use the Cardano blockchain together with Artificial Intelligence to solve these problems? how can Cardano solve the problem of resource cost, time consumption, and ambiguities associated with human hiring systems? This is what this project is all about.

Our Solution

Cardano Blockchain is known for the following attributes, its transparency, low cost of transaction and energy, immutability, speed etc. We can draw a parallel that these are the attributes currently lacking in human hiring systems wherein the problems. Take for example the existence of bias in human hiring systems is because of the lack of transparency with humans. So this project wants to infuse all the novel attributes and values of Cardano into the hiring space through AI and using it to replace all the inefficiencies observed when humans are involved. So in simple terms this is how to describe our solution

An AI based hiring agent that uses the cardano blockchain to power its technology and operation.

Diagram:

HOW IT WORKS:

Let me break it down this is how it works, Assuming an organization, company or HR wants to solve or significantly reduce the bias, marginalization, redundancy, and ambiguities that surround its hiring processes or policies and decide to use this solution that we are building. The set organization or company simply opens an account in our Cardano-powered Dapp platform goes to its customized AI hiring agent, and interacts with the hiring agent. Through the interaction using NLP, the agent can deduce what the organization wants, the kind of candidate they want to hire, and every other detail. The agent then writes a detailed job description subject to the approval of the HR or company, if approved the agent goes ahead to post this job description on Job description platforms, it then receives applications, screens the application, invite the qualified ones for interviews, takes interviews on behalf of the organization and then preselects candidates that are more suited for the role, sends them to the HR, company or organisation for final selection.

DEMO:

Prototype video of an AI agent taking interviews:

https://drive.google.com/file/d/1b_QbN_TXM8Jsv6WVih9UPNiZxjc1fmv3/view?usp=sharing

Prototype of our ai agent for writing job descriptions: https://job-description-tool.vercel.app/

(Please note the tool is currently slow and is still under development, you may need to wait for tool for about 2-3 minutes to get the results displayed)

Screenshot From our Dashboard, After agent preselects candidates

CARDANO POWERED ECOSYSTEM

The underlying technology of this solution is Cardano, but beyond the fact that this will be a Cardano Dapp every thing in the ecosystem of the solution revolves around the cardano inrastracture, the following are ways in which we are integrating it

(I) Cardano tokens(ADA) determine the word tokens that the AI agent utilizes: As we stated the whole ecosystem will be cardano-powered, and the length of a job description will be determined by the amount in a user wallet, so if a user needs more word tokens there's a threshold of ADA tokens that must be in the wallet to unlock more word tokens by the agent. This threshold is not necessarily a gas fee for the transaction.

(ii) Cardano tokens(ADA) determine the time duration and amount of rounds that the AI agent can execute: The similar logic for the word description applies to the time duration for screening of talents, the amount of ADA in the user wallet unlocks the length of duration and interview can possibly last and the amount of prescreening interview that the hiring agent can undertake.

(ii) Cardano Smart Contracts integration: Cardano Smart contracts written into the project will help with coordination of the amount of gas fees that an action or transaction triggered will cost, the amount of word tokens, time duration etc that an individual user can access.

PROJECT READINESS

We already have prototypes of the AI hiring agent for taking interview, we have the prototype of the job description writer, this proposal is seeking funding to help us optimize the prototypes built into a minimum viable product.

FUTURE SCOPE

In the future not only will this be powered by ADA token we will be launching our token to power this hiring ecosystem, this token will be called REMO token it will be a Cardano native token and will be used in our ecosystem for powering AI agents for different tasks depending on what is needed.

Also in the future, we will be launching an AI agent for talented applicants to prepare well for the interviews, work on their Cv, and increase their chances at getting hired.

[IMPACT] Please define the positive impact your project will have on the wider Cardano community.

This project primarily brings a new use case into the Cardano ecosystem, it will help attract AI enthusiasts and product users into our ecosystem, there is an AI resurgence, lot of people are looking for more AI tools to explore, this new audience who are AI natives have an opportunity of being integrated into the Cardano ecosystem through this project.

The number is huge but potentially this has the capacity to attract tens of thousands of users into the ecosystem in the next 1 year on full operation and on completion of all the intents of the project including the future scope up to hundreds of thousands, this projection comes when we include the future scope which will allow talents and job applicants to use the agent to increase their chances at getting hired, the amount of talents and employees globally is in hundreds of millions globally imagine if just 1-10% of this population use our solution.

I will measure the impact of this project primarily by how many Cardano non-natives are using the product invariably representing the number of Cardano new users onboarded through our novel use case.

I will measure it also by the number of ADA wallets in the platform used to power the Agent.

I will also measure by the amount of fees, transaction and smart contract calls generated daily through the Dapp.

[CAPABILITY & FEASIBILITY] What is your capability to deliver your project with high levels of trust and accountability? How do you intend to validate if your approach is feasible?

As the CEO of Remostart, I have had the privilege of working with different employers, HR organizations etc and I have noticed a rising demand by employers, HRs, and companies on how AI can help them do their work better. my proximity to the very people I am building this solution for does two things it gives me an unusual insight into how to solve this problem more efficiently and an already existing market for the solution.

But this is not the only reason why I am suited on delivering this project, here is another reason, my academic background is in Artificial Intelligence, I graduated with a first class in CSE(Artificial Intellgence), I have 8 research papers in AI domains bordering NLP, Computer vision, deep learning, Machine Learning, data mining etc. I have 2 AI-related patents applied and this experience and competence is what is needed to execute this project so you can trust me on my capacity to deliver.

Finally, I had a fund9-funded proposal which was executed and brought to completion on time, a F-10 projected that is well on time and meeting milestones as scheduled, this demonstrates that I can be trusted when it comes to managing funds properly and with integrity.

[Project Milestones] What are the key milestones you need to achieve in order to complete your project successfully?

Milestone: UI/UX Design, Wireframing: 1 Month

Milestone Output(s):

• Completion of UI/UX design
• Completion of wireframing.

Acceptance Criteria:

• A comprehensive design document,
• wireframes Completed,
• All features are included in the UI/UX

Milestone: Data Gathering and Training Set Preparation: 1 Month

Milestone Output(s):

• Implement mechanisms to gather and cleanse data for training the AI hiring agent.
• Thousands of data sets collated and cleansed

Acceptance Criteria:

• Data sources are identified
• A process is established to collect and preprocess relevant data for training the AI agent.
• The data is gathered, cleansed, and available for use

Milestone: AI Hiring Agent Development and NLP Integration: 3 Months

Milestone Output(s):

• Training, development and fine-tuning of the AI hiring agent
• integration of NLP capabilities.

Acceptance Criteria:

• The AI agent is built and successfully integrated into the platform.
• It can interpret user inputs using NLP, generate accurate job descriptions,
• Demonstrates the capability to progress through the hiring process, including application screening and interviews.

Milestone: Full System Deployment and User Acceptance Testing (UAT): 1 month

Milestone Output(s):

• Full deployment of the Cardano-powered hiring platform
• Completion of User Acceptance Testing (UAT).

• Acceptance Criteria:
• The entire system, including the UI/UX, data gathered, and AI agent functionalities, is deployed for testing.
• Users successfully navigate the hiring process, and any identified issues are addressed to ensure a seamless user experience.

Milestone: Feedback Implementation and Optimization: 1 Month

Milestone Output(s):

• Incorporation of feedback from user testing,
• Refinement of features
• Optimization of the overall system.
• Final report and final demo video

Acceptance Criteria:

• Feedback from users is analyzed and implemented to enhance the platform.
• Optimizations are made to improve the efficiency, accuracy, and user-friendliness of the system.
• Stakeholders review and approve the final version for broader use.
• Report Video captures all the features and report document same as well

[RESOURCES] Who is in the project team and what are their roles?

UBIO OBU: The CEO of Remostart, is a blockchain and AI researcher, his academic background is in Artificial Intelligence. Ubio has about 4 years of experience in researching, his research works have cut across different fields, from AI, to IoT, Agriculture, environment, blockchain, HR, human behaviors etc. He currently has about 7 research paper publications in reputable journals like the American Institute of Physics, and IEEE, etc, he has 2 patents under application and a Copyright on a book titled "Research writing for beginners".

Ubio is a Microsoft Winsider Recipient, KECTIL leadership fellow, and a SingularityNet Ambassador.

Ubio will be in charge of the AI development and resource management

https://www.linkedin.com/in/ubio-obu-71927276/

Ediyangha Otogho: Full-stack software and Blockchain developer with 8 years of of software development experience and 3 years blockchain development experience. Ediyangha has won several hackathons and techatrons and was the chief technology officer behind Send funds, a fintech solution building a Bharatpe for Africa. Funfact Ediyangha can code efficiently in more than 7 programming languages. For this project he will be the blockchain and fullstack developer

https://www.linkedin.com/in/edinyanga-ottoho-02801517a/

https://www.github.com/EdinyangaOttoho

Yash Ambekar : B.Tech-Computer Engineering, Full stack Developer, 7 years experience in Software development, a Smart India hackathon winner, with about 3 Research paper publications. In this project he will coordinate the front end developer especially the UI/UX aspects.

https://github.com/yashambkr

Daniel Effiom: He is a co-founder at RemoStart, a Reconciliation analyst at ETransact international PLC. With 5 years experience in data analysis, process monitoring and operational procedures. He has managed several projects for RemoStart and ETransact and is why he will be the project and product manager for this project.

https://www.linkedin.com/in/daniel-effiom-a2b377199/

[BUDGET & COSTS] Please provide a cost breakdown of the proposed work and resources.

Milestone 1: UI/UX Design, Wireframing, and Prototype Development

• Budget Allocation: 35,000 ADA
• Breakdown:UI/UX Design and Wireframing: 15,000 ADA
• Prototype Development: 20,000 ADA

Milestone 2: Data Gathering and Training Set Preparation

• Budget Allocation: 30,000 ADA
• Breakdown:Data Gathering Mechanism: 15,000 ADA
• Data Cleansing for Training: 15,000 ADA

Milestone 3: AI Hiring Agent Development and NLP Integration

• Budget Allocation: 40,000 ADA
• Breakdown:AI Hiring Agent Development: 25,000 ADA
• NLP Integration: 15,000 ADA

Milestone 4: Full System Deployment and User Acceptance Testing (UAT)

• Budget Allocation: 40,000 ADA
• Breakdown:System Deployment: 20,000 ADA
• User Acceptance Testing: 20,000 ADA

Milestone 5: Feedback Implementation and Optimization

• Budget Allocation: 30,000 ADA
• Breakdown:Feedback Implementation: 15,000 ADA
• System Optimization: 15,000 ADA

Project Management

• Budget Allocation: 10,000 ADA

Total Budget: 185,000 ADA

[VALUE FOR MONEY] How does the cost of the project represent value for money for the Cardano ecosystem?

This project provides value for money for the Cardano ecosystem in that with 185,000 ADA the project is bringing in new Cardano use case to the ecosystem and attracting thousands and hundreds of thousands of new users into using a product based on the Cardano tech stack, especially if we consider the global AI trend this makes it much more valuable. But more so the allocation for the budget is far below global standards as most of the team agreed to be working at the discounted rate. Here is the cost at global standards for a monthly project manager fee which is about 11,000USD while we are using only 10,000 ADA for the whole 7 months of the project, this same method is applied in all aspect of the project, as we are more concern about the value and ensuring that the ecosystem ADA is well spent.

https://www.ziprecruiter.com/Salaries/Global-Project-Manager-Salary

[IMPORTANT NOTE] The Applicant agrees to Fund Rules and also that data in the submission form and other data provided by the project team during the course of the project will be publicly available.

I Accept