Omega-9

Curbing carbon emission and its effects into the atmosphere with the assistance of real-time AI algorithmic and blockchain models, incorporating smart sustainable energy alternatives.

Our project is hybrid in nature; I.e both product and service based, it is specifically targeted at utilizing sustainable energy (improved solar cells) to curb carbon emission into the atmosphere with the assistance of real-time AI algorithmic and blockchain re-engineered models. This approach differs from other interventions focused on developing sustainable cities with accessible clean energy within the African space. Our unique value proposition is based on leveraging smart technologies and blockchain technology to track incomplete carbon effects within urban, rural-periurban, and cosmopolitan communities while utilizing smart energy alternatives.

Current research shows that using AI for environmental applications has the potential to boost global GDP by 3.1 – 4.4% while also reducing global greenhouse gas emissions by around 1.5 – 4.0% by 2030.

Right now in Africa, there are insufficient databases on the statistical effects of carbon on the lives of the masses, specifically Nigeria. And this is a problem, as limited data affect control measures.

So far, we have made some "micro traction" in terms of data monitoring and analysis. We now focus on developing and increasing the demands of sustainable energy within specific targeted regions.

Untraced carbon emissions and effective energy alternatives are the problems we are trying to solve. On a scale of (1-5), the magnitude of the situation falls in a category (4) which makes it a crisis demanding immediate attention.

Nationally, over 50+ million people are affected. And 70% of the individuals in my community are in direct contact with the mayhem.

These factors includes:

1) Growing desertification: This forced thousands of Fulani herdsmen to move to the south and middle belt leading to clashes with crop farmers culminating in the  death of hundreds according to the reports of residents and activists.

2) Negligence and a failure to tackle the issue of climate change by successive governments have also contributed to the rise of insurgency groups across the country. 

Furthermore, Nigeria’s climate has been changing, evident in temperature increases; variable rainfall; rise in sea level and flooding, and loss of biodiversity. The durations and intensities of rainfall have increased, and flooding is on a rise in Nigeria.

Further research shows that rainfall variation is projected to continue to increase. Precipitation in southern areas is expected to rise and rising sea levels are expected to exacerbate flooding and submersion of coastal lands. Droughts have also become a constant in Nigeria, and are expected to continue in Northern Nigeria, arising from a temperature rise. Lake Chad and other lakes in the country are drying up and at risk of disappearing.

Our solution is specifically targeted at helping developing countries, from which we decided to start with Africa, Nigeria being a case study with over 200+ million people.

The cumulative statistics of Africa equals over 1 billion people and still counting. Out of which, over 30% of the current population is in dire need of our solution.

Sustainability and renewable energy alternatives are at the top of our priority. Hence, we focus on both rural, urban, and evolving cosmopolitan cities to reduce the evolving climate change effects.

Our project when fully deployed will astronomically impact health, industrial actions, and energy policies nationwide and in the long haul, leading to intercontinental impact.

Also, influencing other neighboring countries. Inaccessibility to equitable renewable energy sources will be addressed and health crises such as inflammatory and cardiopulmonary diseases will be tackled.

We have carried out a small scale qualitative conditioned research on potential users within 4 distinct autonomous communities in Imo State Nigeria, namely Eziobodo, Obinze, Ihiagwa, and Nekede. With a total population of over 3,000,000 million residents.

Our cross survey data, from physical and social networks, amounted to 3,000 responses.

Yes, in previous years, I have volunteered with UNICEF, Cartedo, and Young Innovation Leaders (YIL) to work out effective models to combat localized global effects in the light of the Covid 19 pandemic, climate change amongst others.

While in the prototype design, we incorporated customer personas in the design thinking process. These personas vary from age, occupational status, socioeconomic status, and educational status. Further analysis of the data acquired shows that 65% of the responses are open to the adoption of the initiative as this will enact further sustainable development.

We selected the prototype stage due to the fact that we are presently geared towards team building, working with the right talent and skillsets. Also, through available climate change data, we are training AI models to specifically identify carbon emissions in the atmosphere. Furthermore, we are at the smart energy alternative models design stage which would be deployed alongside our carbon emission model. This is quite hectic but we are determined to see that it comes to fruition.

All hands are on deck, saving the human race is a quest we are bound to duly serve.

We are leveraging AI and blockchain technology to collect massive amounts of data from the environment, intuiting connections that humans fail to notice, and recommending appropriate actions based on its conclusions. 

Monitoring Emissions:

Using AI-powered data engineering to automatically track emissions throughout a geographical carbon footprint. This can help to collect data from operations, from human activities and from every part of the value chain, including transportation networks, bio gas usage, and much more. We would also try to exploit data from new sources such as satellites for quality real-time feedback. And by layering intelligence onto the data, we can generate approximations of missing data and estimate the level of certainty of the results.

Predicting Emissions:

Predictive AI would be used to forecast future emissions across a geographical carbon footprint; in this case, rural, periurban, urban, and cosmopolitan cities. In relation to current reduction efforts, new carbon reduction methodologies get been developed. As a result, we can set, adjust, and achieve reduction targets more accurately.

Reducing Emissions:

By providing detailed insight into every aspect of the geographical carbon and energy mapping, prescriptive AI and optimization would be used to improve efficiency in energy production, transportation, and elsewhere, thereby reducing carbon emissions and cutting costs in industrial innovation.

There are higher chances that we would be able to serve over 1000 individuals within rural and urban areas next year in the first 7 months. While in the last quarter of next year, we would target a cosmopolitan city; taking Lagos as a defined case study. At the moment, we have some leads in agencies that would be delighted to partner with us especially with traction from our community centered approach.

We are fully aware that carbon emissions and smart energy inaccessibility are a crisis that certain cosmopolitan governmental bodies are trying to solve. Lagos, Nigeria is a major concern amongst others.

Some of the impact goals we would be using include:

1) Carbon tax policy implementation: Looking forward to the Lagos state house of assembly, instituting the carbon tax policies to curb carbon emissions. Hence, promoting quality citywide sustainable environment awareness programs.

2) Smart energy accessibility: Within a space of one year, we are keenly focused on solving the epileptic power supply within rural and peri-urban. Empowering over 300 homes with low-cost sustainable energy alternatives. 

3) Designing and training 350 high school students (200 females and 150 males) on sustainable environmental methodologies; thereby leading to green activism.

4) Road tilling innovation: Apart from fixing the carbon emissions issue, we also plan on the long haul to strategically convert automobiles emissions into eco-friendly road coating substances. 

We (My team and I ) decided that we would rely on the UN SDGs metrics for sustainable cities and affordable clean energy. So far, we have gotten qualitative data inputs from over 3000 people, this, in turn, shows the necessity of our solution.

Apart from the primary data amassed, the early adoption of our initiative by each rural, periurban, urban, and cosmopolitan cities is a metric we would use to ascertain the impact of our project.

Finally, sustainable profit margin growth, accrued from town/city management, alongside community energy demands would be taken into consideration for strategic decision making process and policy endorsement.

Primarily, the Africa market is easy to penetrate, as long as the availed solutions solves their immediate needs.

At the moment, financial barrier is our major obstacle. Though we tried using our funds to cover up for some of the micro project demands. Nevertheless, without this barrier (financial) sufficiently tackled, the chances of medium-large scale implementation becomes critically slim.

So far, my team member have tirelessly committed their time, energy, and resources towards the development of the solution from ideation to prototyping. I would have given up a long time ago but their determination and constant reassurance of the tangibility of my ideas kept me keeping on.

There would be no "Omega-9 solution" if their inputs were scarce. Nevertheless, we are applying today because we believe that only those who are passionate enough can make a difference in the lives of countless millions and billions around the world.

Below is a brief biography about my team member:

1) Emmanuel. A, is a 400 Level student of the Federal University Of Technology, Owerri. With a major in (EEE). He's a Microsoft certified beta (II) ambassador, being solidified within the tech space, he majors in Robotics and Automation, Blockchain Dev, amongst others. With over 4+ years of practical experience, having executed over 15+ complex machine learning, deep learning, and AI projects. He's critically agile in handling computational-oriented tasks.

1) Partnering With The Young Innovation Leaders (YIL). The YIL organization in Abuja, Nigeria provides our solution with a platform for national impact, using their connection and support network to aid the deployments of our prototype.

2) Secondarily we are collaborating with Cartedo, a South Africa organization centered on sustainable global impact. They provide the platform for higher product scalability.

As a team, we have a common mantra that says, "Tech for all". Inclusivity is a primary concern for us. We believe that everyone irrespective of gender or socioeconomic differences has the right to become a tech oriented citizen. At least in the way most stable for them.

Hence, we have a set target that with the actualization of our "third traction goal" which is centered on community testing, we'll offer a comprehensive cohort program for 50 women on Open AI and Blockchain technology the first year, these tools being the backbone of the future will play a fundamental role in their lives.

Also, we will avail tangible workplace experience to women who complete the cohort program. Thus, serving as a means of empowering 2 out of 5 women. Compounding these effects will make a huge difference in the long haul.

Thus, leading to a robust network of female AI communities in Nigeria and the world at large.