Tanzania - Business creation project

Describe your project or startup in a few words

Hyperlocal weather monitoring with AI involves to Develop an AI-powered system that provides highly accurate and localized weather forecasts for a specific area in order provide a real time data on weather to reduce impacts of climate change in Tanzania.

01.01 Describe your project in more detail

Hyperlocal weather Monitoring is an AI solution that takes the context of each demand driver within each individual location to make accurate weather forecasting in the most granular level. Hyperlocal weather monitoring with artificial intelligence is crucial in order to improve the present technology on weather forecasting in order to provide a real time data on temperature, rainfall and humidity which will enable the farmers to make an informed decision on agriculture like irrigation, early crop plant and pesticide control in order to reduce the impacts of severe weather event. Tanzania agricultural sector is highly vulnerable to El Nino which has occured in this rainfall season leading to devastating flood, landslides, and crop failures, jeopardizing food security and livelihood. This project propose for groundbreaking weather monitoring system that leverage hyperlocal forecasting and mitigate severe weather event that directly affect agriculture negatively by using AI

01.02 What is the main problem you are trying to solve?

Recent El Nino event in Tanzania showcased the limitation of existing technology on weather forecasting. Despite Tanzania meteorological Authority issued early warning but the impact was too severe due to limited granularity of national forecasting which lacks more details to predict specific impacts on microclimate and local communities, challenge on reaching rural communities and lack of real time data on localized weather events. TMA have the challenges of sparse weather stations which forecast weather events in general but do not address the specific local area also with inaccurate forecast for specific local locations, incomplete picture of weather variation across tanzania and forecast represent large area missing hyperlocal factors. Hyperlocal weather monitoring with AI will provide more relevant informations and real time data, also will capture the data sources in a full range of microclimate and increased granularity allowing forecasting in local areas especially in rural.

01.03 Tell us the major benefits and/or advantages of using the product/service that your project intends to provide (at least 3).

Increased accuracy and granularity. Traditional weather stations have limited coverage especially in rural areas and geographically complex areas. By using Hyperlocal weather monitoring powered by AI can utilize various data source like satellite imagery, sensor data from weather stations and existing data which will provide more accurate pictures of weather conditions at specific locsl locations. Improved early warning systems. AI powered hyperlocal monitoring system will improve early warning system crucial for flood warning especially areas prone to rapid water level changes, detecting and prediction of formation of microclimates like hailstorms and providing real time advice for public safety during extreme weather event. Enhanced decision making. Hyperlocal weather monitoring with AI will empower individuals to make better decision based on real time weather condition. For example farmers make informed decision about irrigation and crop protection based on real-time data.

01.04 Please describe who exactly your project is aimed at serving. Who are the targeted beneficiaries?

Individual users. Peoples in geographical complex areas like mountains and valley where traditional weather stations might not provide accurate forecast for specific local areas. Business and organizations. Like construction companies, utility companies and farmers can utilize these real time data of weather conditions and make decisions in their operations. Public agency services. Agencies can use these real time data to advice the public safety during extreme weather event and target warning to specific areas

01.05 When did you start working on your project?

2024-03-01

01.06 How many other partners are associated with your business venture?

0

01.07 Among the other partners, how many are female?

0

01.08 Please describe the profile of each of the other partners (skills, experience, etc.)

There is no partnership in the business venture

01.09 If you have a website, a social media page (Facebook, Instagram, Linkedin…), or app, please provide the link here:

https://www.instagram.com/sound_ofsilence29?igsh=OGQ5ZDc2ODk2ZA==

01.10 Which industry best describes your project?

l) Agriculture

02.01.01 My project contributes to the No poverty goal

2

02.01.02 No poverty - Justification

By providing a real time data on weather will help farmers to make decision on farm management and increase productivity which then will reduce poverty rate.

02.02.01 My project contributes to the Zero hunger goal

7 - Strongly Agree

02.02.02 Zero hunger - Justification

By enabling precision agriculture through hyperlocal weather forecasts, the project can improve agricultural practices. Farmers can optimize irrigation, crop planting schedules, and pest control based on real-time weather data, leading to increased yields, reduced water usage, and enhanced food security. Hyperlocal weather forecasts empower farmers with the information needed for precision agriculture. This can lead to: Increased yields. By optimizing irrigation, planting schedules, and pest control based on real-time weather data, farmers can maximize crop production. Reduced water usage. Precise knowledge of weather conditions allows for more efficient water application, minimizing waste and conserving resources. Enhanced food security. Improved agricultural practices ultimately contribute to increased food production and availability, promoting food security for local communities.

02.03.01 My project contributes to the Good health and well-being goal

5

02.03.02 Good health and well-being - Justification

Early warnings of extreme weather events based on hyperlocal forecasts can help communities prepare and take action to minimize health risks associated with heatwaves, floods, and other weather disasters.

02.04.01 My project contributes to the Quality education goal

5

02.04.02 Quality education - Justification

Training program for farmers on on weather data utilization enhance their knowledge and skills promoting lifelong learning.

02.05.01 My project contributes to the Gender equality goal

7 - Strongly Agree

02.05.02 Gender equality - Justification

The project will ensure equal access of information and training for both male and female farmers promoting gender equality within the agricultural sector.

02.06.01 My project contributes to the Clean water and sanitation goal

5

02.06.02 Clean water and sanitation - Justification

The project can contribute to water conservation efforts by enabling efficient irrigation practices through precise weather data. This helps to ensure the availability of clean water for other essential uses in order to make decision on agriculture like irrigation.

02.07.01 My project contributes to the Affordable and clean energy goal

5

02.07.02 Affordable and clean energy - Justification

The project can explore to integrate renewable source of energy like solar panels to empower weather stations to achieve clean energy goal

02.08.01 My project contributes to the Decent work and economic growth

5

02.08.02 Decent work and economic growth - Justification

Farmers will utilize the information on weather and make decision on agriculture and achieve economic growth in Tanzania.

02.09.01 My project contributes to the Industry innovation and infrastructure

7 - Strongly Agree

02.09.02 Industry innovation and infrastructure - Justification

The project itself embodies SDG 9 by promoting innovation in weather monitoring. The use of AI for hyperlocal forecasts fosters technological advancements and contributes to the development of sustainable infrastructure for weather data collection and analysis. The project itself exemplifies SDG 9 by fostering innovation in weather monitoring through the use of AI. This advancement can contribute to the development of sustainable infrastructure for data collection and analysis and provide innovation and build infrastructure which will tolerate with severe climate changes

02.10.01 My project contributes to the Reduced inequalities goal

7 - Strongly Agree

02.10.02 Reduced inequalities - Justification

By the use AI Powered weather monitoring will help to reduce inequalities on the ways to reduce the impacts of severe climate changes and build farmers resilience to environmental shocks as at developed countries.

02.11.01 My project contributes to the Sustainable cities and communities goal

7 - Strongly Agree

02.11.02 Sustainable cities and communities - Justification

Hyperlocal weather information can be used for urban planning and infrastructure management. Cities can utilize the data to prepare for floods, heatwaves, and other weather events, minimizing damage and ensuring the safety of citizens. Additionally, the project can support the development of weather-resilient infrastructure.

02.12.01 My project contributes to the Responsible consumption and production goal

5

02.12.02 Responsible consumption and production - Justification

The project is unlikely to contribute to responsible consumption of weather data in order to improve production in agriculture and settlement.

02.13.01 My project contributes to the Climate action goal

7 - Strongly Agree

02.13.02 Climate action - Justification

This project directly contributes to climate action by providing more precise weather data for climate monitoring and analysis. The AI system can help identify trends, predict extreme weather events, and support the development of climate change mitigation and adaptation strategies

02.14.01 My project contributes to the Life below water goal

7 - Strongly Agree

02.14.02 Life below water - Justification

Hyperlocal Weather monitoring with AI due to responsible water management practices brought by the project can protect water run offs and water quality in nearby water bodies. gy

02.15.01 My project contributes to the Life on land goal

7 - Strongly Agree

02.15.02 Life on land - Justification

System can be used to monitor weather condition in ecological sensitive areas enabling better management of natural resources and wildlife habitats. By providing farmers with hyperlocal weather data, the system will help to optimize irrigation practices potentially water usage in promoting sustainable land management. By enabling precision agriculture, the project can potentially reduce the use of pesticides and fertilizers, leading to a more sustainable approach to farming and a healthier environment.

02.16.01 My project contributes to the Peace justice and strong institutions goal

7 - Strongly Agree

02.16.02 Peace justice and strong institutions - Justification

By empowering farmers with real time data can help to improve agricultural sector in Tanzania.

02.17.01 My project contributes to the Partnerships for the goal

7 - Strongly Agree

02.17.02 Partnerships for the goal - Justification

Developing and deploying this technology requires collaboration between researchers, data scientist, private companies and government agencies. This foster partnership is crucial for achieving SDGs.

05.01 There are a large number of customers who already use a product/service very similar to the product/service we envision creating.

1 - Strongly Disagree

05.02 The product/service we envision creating represents an entirely new type of product/service.

7 - Strongly Agree

05.03 The product/service we envision creating could be described as a new technology.

7 - Strongly Agree

05.04 The product/service we envision creating is an improvement on an existing product or service.

7 - Strongly Agree

05.05 The product/service we envision creating could be described as an extension of a range of products or services.

7 - Strongly Agree

05.06 The product/service we envision creating responds to a demand or need that has not been satisfied by other products/services.

7 - Strongly Agree

05.07 The product/service we envision creating is a new version of an old product/service.

7 - Strongly Agree

05.08 Justification

Hyperlocal weather monitoring involve the use of AI powered technology to monitor weather and reduce climate change impacts. AI powered weather monitoring will help to to forecast weather in a small local area. The AI powered model will be trained on historical data and real time data from stations forecast that accounts for microclimate and local weather patterns with high accurate predictions. The product that envisioning will replace and improve the old technology in weather forecast which provide a general prediction of weather to large area but Hyperlocal weather monitoring with AI powered will help to improve weather forecasting in order to provide an accurate data of weather in order to reduce the effects of severe climate change incidence like flood and crop failures.

05.09 Who are your main potential competitors and what makes you stand out from them?

The main competitor is Tanzania meteorological authority which is an authority to forecast weather in Tanzania. With AI powered weather monitoring will replace the old technology with new AI technology to provide accurate data on weather in order to reduce the adverse impacts brought by severe climate change.

10.06 Are you initiating actions within your community to promote the role of female entrepreneurs?

I have never initiated any action to promote role of female entrepreneurs