Practices

BRICS Solution Awards
Parshwa Power (Shree Nakoda Parshwa Industries).
Parshwa Power (Shree Nakoda Parshwa Industries).
Hydrogen energy

Parshwa Power (Shree Nakoda Parshwa Industries).

Problem: The world’s dependence on fossil fuels is driving climate change and depleting natural resources, while current green hydrogen generation methods are costly and inefficient. Solution: Parshwa Power developed a cost-effective, portable method to generate 100% pure green hydrogen for under $1 per unit using a unique, recyclable formulation that works anywhere without external energy. This innovation addresses hydrogen production, storage, and transport challenges.

Increasing productiveness and decreasing the costs of glass factories by implementing a hardware and software complex with built-in artificial intelligence "Conveyor 2.0" (invention "System and method for monitoring the parameters of glass production")
Longlist
Increasing productiveness and decreasing the costs of glass factories by implementing a hardware and software complex with built-in artificial intelligence "Conveyor 2.0" (invention "System and method for monitoring the parameters of glass production")
Manufacturing management and optimization

Increasing productiveness and decreasing the costs of glass factories by implementing a hardware and software complex with built-in artificial intelligence "Conveyor 2.0" (invention "System and method for monitoring the parameters of glass production")

An important feature of glass production is that it is an unstoppable production. After the glass furnace is started, the production conveyor operates without stopping for 10-12 years. Technological sections of the glass production conveyor consist of equipment made by different manufacturers combined into a single conveyor line. Automatic process control systems, software and interfaces provided by equipment manufacturers operate locally within the framework of their technological task, not allowing to “see the whole picture” along the entire production line and, accordingly, it doesn’t allow effectively managing the entire production cycle of operations in their interprocess communication. Losses due to unscheduled downtime of production lines, production of defective products together with the “human factor” lead to a large amount of unnecessary expenses and, as a consequence, lost profits. "Conveyor 2.0" combines autonomously controlled sections of conveyor production into a single system without replacing the existing equipment, using current automated process control systems, complementing their functionality. The "Conveyor 2.0" system covers the entire production line of the conveyor, from loading of the batch to packaging of the finished products (batch house, glass furnaces, glass forming machines, inspection equipment, packaging). The project is a catalyst that helps the enterprises to move from a simply automated level to the "smart production" level of the "factory of the future". Objectives of the system (project) implementation: 1. increase in productiveness (increase in the number of manufacturing of good products) on the existing fleet of production equipment; 2. increase in the packed to melt ratio (PTM) by at least 5-7% of the current level and decrease in the unit costs of manufacturing good products by 10-15%, which is achieved through the following indicators: • Increase of the hot end efficiency • Increase of the cold end efficiency (increase of the number of packed good products) • improving product quality, reducing the amount of defective products by reducing the “reaction time” between the cold and the hot end of the conveyor; • optimal production planning through smart planning using statistics on the productiveness of each article in relation to a specific line. Articles are distributed among those lines where they are produced with maximum speed and efficiency (PTM); • reducing specific energy costs per one unit of produced product. 3.creation of a unified management system for factory performance indicators; 4.improvement of the quality (completeness, accuracy, reliability, timeliness, concurrency) of information on the efficiency of the production process organization; 5.speed-up of the time for collecting and processing primary source information for the purposes of operational production management in real time.

Fabric (mineral fabrics) facade of a panel building
Fabric (mineral fabrics) facade of a panel building
New materials and substances

Fabric (mineral fabrics) facade of a panel building

Hundreds of thousands or even millions of old panel houses look unsightly and are being destroyed due to lack of money to renovate the facade. A combination of a fabric facade and gabions in the lower part can solve this problem.

Navigio
Longlist
Navigio
Artificial intelligence

Navigio

- More than 30% visitors leave without buying anything because they did not find what they were looking for, or even do not know about the existence of such facilities - More than 70% people want to learn about the city in a selfguide mode during the walk when it is convenient for them, in an interesting form - More than 80% of people feel discomfort on forums, museums and new locations Navigio is a mobile application that provides augmented reality navigation and platform that allows to change augmented reality easily and quickly. Users can use Navigio to explore the world through virtual tours and interactive routes. It is intended for both urban infrastructure and major events and cultural-tourist locations. The application provides additional contextual information about location objects and helps you to navigate in unfamiliar places thanks to its easy navigation and user-friendly interface.

Supa
Supa
Artificial intelligence

Supa

The problem we are addressing is the high cost of tutoring services, which prevents many students from receiving necessary support for university admissions. Our solution integrates AI to personalize learning paths for each student, providing tailored recommendations and adaptive assessments. This AI-driven platform not only offers installment plans for tutoring services, making education more accessible but also enhances learning outcomes by analyzing student performance and suggesting areas of improvement. It connects students and educational institutions, reducing marketing costs for tutors while improving the overall learning experience

HealthAI Diagnostics
HealthAI Diagnostics
Artificial intelligence

HealthAI Diagnostics

In rural South Africa, access to advanced medical diagnostics is limited, leading to delayed or incorrect treatment. This project leverages AI to deliver diagnostic services via mobile clinics, integrating AI with portable medical devices to offer immediate analysis and recommendations.

The system for collecting, processing and promptly providing macroeconomic data on Moscow, Russia and other Russian regions.
The system for collecting, processing and promptly providing macroeconomic data on Moscow, Russia and other Russian regions.
Big data storage and analysis

The system for collecting, processing and promptly providing macroeconomic data on Moscow, Russia and other Russian regions.

Problems were: 1. Time costs for data collection and processing from multiple data sources (Rosstat, EMISS, The Central Bank of Russian Federation, etc.) 2. Outdated information due to insufficiently prompt updating of certain data sources (e.g. data on EMISS are not always up-to-date). 3. Inability to obtain statistical information from certain sources: • Rosstat data showcase - loss of data, long time for updating, problems with connection to the service; • EMISS - long waiting time for loading, periodically some indicators are blocked for a long time for updating. 4. The need to promptly obtain up-to-date statistical information on the regional economy. For this purpose, the management made enquiries to analysts, which could take considerable time. Solution: Moscow Department for Economic policy and Development created the SQL database, including more than 35 detailed key indicators of economic development of Moscow, Russia and other Russian regions. The database is formed from multiple sources: The Central Bank of Russian Federation, EMISS, Rosstat. − As of 14.08.2024, the total volume of the database is about 27.7 million records, and it is constantly growing by parsing new data. − Statistical data is collected and updated automatically. − Computer vision technologies are used for processing of some statistical documents (in particular in PDF format) to recognize statistical tables and to retrieve the data stored in them. Moscow Department for Economic policy and Development created the system of automatic receipt of operational data on request (Telegram-bot) “DEPR – statistics” for 16 most frequently used indicators. This system was created on the basis of the SQL database.

DSR
Longlist
DSR
Nature-based and nature-like technologies

DSR

Agriculture and allied sectors contribute to almost 25% of the GHG emissions globally. In the global south 500 million smallholder land stewards and farmers are seeing their livelihood threatened by soil erosion and climate change. This challenge is not yet addressed by the private sector. NGOs and governments lack the funding, skill, and execution capacity to move the needle. The voluntary carbon market can be part of the solution. Currently, there is a lack of scientific rigour and transparency when it comes to determining the increase of soil carbon and avoiding GHG due to change in practices. We solve this with our MRV technology . Another challenge is that currently often less than 10% of the carbon credit proceeds flow back to the land stewards. Rice is one of the world’s most important food crops. However, looming water scarcity and the water-intensive nature of rice cultivation threaten this critical supply component. In fact, 40% of the world’s irrigation water is utilised for rice production in a time where water supplies are becoming increasingly scarce. Compared to traditional methods, direct seeded rice (DSR) provides an efficient, sustainable rice production method that reduces both water consumption and the emission of greenhouse gasses (GHG). This also means less labor requirements and faster crop maturity, leading to increased productivity and profits for farmers. Varaha is a tech-enabled end-to-end project developer and monitoring, reporting, and verification (MRV) company that aims to limit global warming and improve climate resilience through Natural Climate Solutions (NCS), such as direct seeded rice.

Temperature Dashboard
Longlist
Temperature Dashboard
Climate adaptation solutions

Temperature Dashboard

Cities worldwide are facing the rapidly worsening issue of urban heat, which has severe repercussions for public health, labor productivity, and energy consumption, to name a few. As cities expand and become denser, the effects of urban heat are magnified, particularly in vulnerable communities lacking access to cooling solutions. This issue is exacerbated by a lack of precise and real-time temperature data, making it difficult for cities to pinpoint heat hotspots and implement effective mitigation strategies. FortyGuard addresses this problem with its Temperature Dashboard, an AI-powered solution that provides high-resolution, real-time temperature data and predictive analytics. By integrating data from satellite imagery, IoT sensors, weather stations, and mobile sources, the platform delivers accurate heatmaps with a 10-meter resolution. This allows city planners and other stakeholders to identify urban heat hotspots, monitor temperature trends, and implement tailored cooling strategies. The dashboard also provides post-intervention analytics to measure the effectiveness of these solutions, ensuring continuous improvement in mitigating urban heat and its effects.

Veever: Digital Accessibility Ecosystem
Future maker
Winner
Veever: Digital Accessibility Ecosystem
Digitalization of services and service ecosystems for citizens

Veever: Digital Accessibility Ecosystem

Globally, approximately 280 million people are visually impaired, and cities, public services, and infrastructures are often not designed to support their needs. From inaccessible sidewalks to lack of auditory alerts at intersections, visually impaired individuals face daily challenges in navigating urban environments. Moreover, public services and spaces are not always equipped with the necessary technology to accommodate their participation, leading to feelings of exclusion and abandonment. Facing these challenges, we've created Veever: a digital solution that utilizes microlocation technology and artificial intelligence to enhance mobility and access to public spaces for visually impaired individuals. Through a mobile application, users receive real-time audio descriptions and guidance, enabling them to navigate both indoor and outdoor environments autonomously. The system operates using Bluetooth beacons placed in strategic locations, offering detailed information via voice assistant, even offline. Veever transforms how visually impaired citizens access urban environments and public services, promoting a more inclusive society.

A set of tools (website) for a risk-based approach in the execution of state contracts to reduce labour costs during supervisions by the control department of an executive authority (The service for contract execution control).
A set of tools (website) for a risk-based approach in the execution of state contracts to reduce labour costs during supervisions by the control department of an executive authority (The service for contract execution control).
Intelligent decision-making systems

A set of tools (website) for a risk-based approach in the execution of state contracts to reduce labour costs during supervisions by the control department of an executive authority (The service for contract execution control).

To supervise payments within contracts the control department of an executive authority has to open each contract on the website of the Unified Procurement Information System, which is labour intensive. The service for contract execution control was developed to reduce these labour costs. Above mentioned supervision is carried out once a year for the contracts of the executive authority and its subordinate institutions. There is no real-time control tool. The service for contract execution control goals are the following: • Implementation of risk-based approach for payment orders for the contracts within the 44th Russian Federation Federal Law (“On the contract system of procurement of goods and services to assurance state and municipal needs”); • Implementation of the automatic uploading of procurement documents (notice, contract, complaint) from the Unified Procurement Information System. A set of tools (website) has been developed: • To control timely payments within contracts; • To automatically calculate deadlines of payment orders; • To report contract payment deadlines; • To generate and send automatic notifications to responsible executors. The platform implements seamless communication between the Control Department of the Moscow Department for Economic Policy and Development and its subordinate institutions. All calculations of the platform are made in a single information environment, that prevents possible errors of data inconsistency, reminds about payment for contracts, and reduces the number of contract payment delays. Procurement documents (notice, contract, complaint) are automatically uploaded from the Unified Procurement Information System to the network folders of the Control Department of the Moscow Department for Economic Policy and Development.

SmartDecisions Ethiopia
SmartDecisions Ethiopia
Intelligent decision-making systems

SmartDecisions Ethiopia

Decision-making in public and private sectors often lacks data-driven insights. SmartDecisions Ethiopia leverages AI and big data to support decision-making processes in government and businesses.

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