Big problems that AI can solve in India

Big problems that AI can solve in India

ICTpost Governance Bureau

AI has the potential to bring new waves of innovation and economic progress and drive knowledge on a scale we haven’t seen before. Here, we are providing amazing AI solutions that can solve India’s problems.

  1. Unsustainable agriculture practices
    Sustainable agriculture practice is crucial to India’s economic growth. With a growing population, depleting resources, and the growing threat of climate change, it will be impossible to meet future needs unless we transition to sustainable food and agricultural systems. Organic farming, conservation agriculture, and agroforestry can ensure long-term sustainability in agriculture by enhancing soil health, conserving natural resources, and improving yields. AI enabled Smart irrigation systems, climate monitoring tools, and online-based marketplaces will create a new set of opportunities.
  2. Food Security
    21 million metric tonnes of wheat — almost equal to Australia’s production — rots each year in India due to improper storage. One million tonnes of onions vanish on their way from farms to markets, as do 2.2 million tonnes of tomatoes. AI enabled Aibono predicts the yields of farmers in its network and uses retailer data to suggest a harvest window that minimizes spoilage. India-based Cropin is using machine learning to help farmers monitor the health and biodiversity of about 10,000 crop varieties, track weather cycles, predict yields and assess soil health and water stress.

3.Healthcare
India has very poor Healthcare Access and Quality Index, even it’s behind Bangladesh and Sri Lanka. The maternal mortality rate in India is almost 5 times higher than that of China. Healthcare expenditures push so many people into poverty every year. Generative AI can be game changer in advanced care for Non-Communicable Disease (NCDs) that is responsible for 66% deaths in India. By leveraging artificial intelligence in hospital settings and clinics, healthcare systems can become smarter, faster, and more efficient in providing care to millions of people.

4.Education and inequality
The right to education in India is still a battle in some parts of the country. Class, linguistic background, gender, socio-economic condition, ethnicity, and region affect a child’s education. There are almost 260 million students in its 1.5 million schools and by 2030 India is supposed to have the largest youth population which may prove to be a boon only if these young people are skilled enough to enter the labor market. In Andhra Pradesh, Classification ML models are used to predict the chances of a student dropping out, by identifying patterns from complex datasets. Schools in Sikkim are using adaptive assessment software to set exams for their students based on their pace of learning.

  1. Energy security and Environmental degradation
    Energy security is national security. While grappling with climate challenges, the energy sector is evolving into a decentralized and diverse landscape, with AI. AI and machine learning advancements can transform India’s energy sector. In the green energy sector, algorithms have immense potential to optimize storage, predict and direct the output of renewable energy sources like solar panels and wind turbines. Duke Energy and Amazon Web Services are developing smart grid solutions for consumer protection and seamless clean energy transition.
    Some AI based examples to combat environmental degradation:
    MyAnga app helps Kenyan pastoralists brace for drought. With enhanced data, herders can plan, better manage their livestock. Use of AI in environmental use cases could contribute up to 5.2 billion USD to the global economy by 2030, says Microsoft-PWC.

6. Urban Waste Management-–The waste problem has been magnified in India due to the growing population and rural-urban migration. The country’s urban population is 600 million and generate 165 million tonnes of solid waste, 5-6 per cent of which will be plastic. Chennai based Kabadiwalla Connect brought AI-powered solutions to connect waste collectors with recycling facilities and empowering the informal sector to decentralize waste management. AI in waste management can help create more efficient and cheaper recycling systems.

7. Women & Child Safety
Worldwide more than 1 out of 3 women have been victim of violence. 60% of these incidences remain unreported.
AI Can Play a Crucial Role in identifying and Preventing Harassment and Violence Against Women. Video analytics and facial recognition software may monitor public locations for signs of criminal activity and immediately alert the authorities. AI chat bots and virtual assistants may provide a private and secure environment for women to report harassment or assault.
Sophia is world’s first chatbot to battle domestic abuse. Sophia assists victims of domestic violence 24/7, no matter where they are located. Microsoft is supporting the Sophia campaign.

8. Disinformation and political manipulation
Misinformation and disinformation remain a big problem in our society.
Over the years, unverified news and rumors on social media and messaging services have resulted in huge problems. Artificial intelligence and data-driven methods can be used to detect and control misinformation in the same way they are used to spread it. The automatic fake news detection systems can give people the skills to recognise misinformation independently. editor@ictpost.com

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