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A problem in our society that people have accepted heat exaustion. In summer season many students faint to due a heat stroke and now days people take it normally.

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student faint in school due to heat in assemly 

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Sometimes some traffic police officers struggle to control the traffic. Like the are stopping a car and due to the the fear of "chalan" many people run with their cars and they dont get caught. So, we can create a Ai program which would detect the number plates and info about the driver virtually without getting them know so, even if the person tries to escape his informatation would be with the police.

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With unlimited resources, I would solve global educational inequity. By providing every child with AI-powered, personalized literacy and vocational training, we empower them to solve local health, climate, and economic crises—saving millions of lives through systemic self-sufficiency.

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AI powers automated fact-checking and source verification tools, helping students identify "deepfakes" and biased narratives before they spread.

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In education, AI optimizes campus resource management, using predictive analytics to eliminate food waste in cafeterias and automate energy-efficient lighting.

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In 2040, the Data Entry Registrar is obsolete. AI handles all student records, allowing staff to become Holistic Student Success Coaches.

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Solving for need ensures equity and accessibility. "Cool" tech often creates distraction and widens the digital divide without improving learning outcomes.

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Without diversity, AI inherits encoded biases, leading to exclusionary algorithms that penalize or alienate students from marginalized backgrounds.

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AI augments education. Replacement leads to cognitive laziness, while augmentation frees teachers for human-centric mentorship and complex problem-solving skills.

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Teacher decision fatigue. Society accepts mental exhaustion as "normal," though it constantly drains the patience and creativity required for effective instruction.

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Teachers struggle to synthesize massive learning analytics. This data overload makes it impossible to manually provide every student with truly personalized, real-time feedback.

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Giving a backpack a "brain" would solve organizational executive function deficits. It could track materials, remind students of forgotten assignments, and sync digital deadlines with physical supplies.

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Manual grading and administrative data entry waste potential. Automating these tasks lets educators prioritize student mentorship, creative lesson planning, and engagement.

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I would givemy brain to traffic lights. So, then they will adjust signal on the basis of traffic and they will also let the cars to go if there is no traffic and the road is empty.

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create a image of a traffic light with a brain directing cars and bikes

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A unnecessary task can be folding all the clothes and organising them. It is a wastage of time.

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The first problem to solve would be providing equal access to quality education.
AI can deliver personalized learning to students anywhere, helping reduce educational inequality.

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AI can help filter incorrect educational content and provide verified, reliable information to students.

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AI can reduce paper usage through digital systems and optimize use of school resources like electricity and classrooms.

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Personal AI Tutor Manager.
A professional who manages and monitors AI-based learning systems for students.

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Technology in education should solve real problems like improving learning and saving time.
Focusing only on “cool” features may not provide real value.

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AI systems may become biased, unfair, or ignore different learning needs if not designed by diverse groups.
This can negatively impact students.

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The goal of AI is to assist and enhance human intelligence, not replace it.
AI handles routine tasks while teachers focus on teaching and mentoring.

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Lack of personalized learning.
Many students do not receive individual attention because of large class sizes.

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Teachers and schools struggle to manage large amounts of student data such as marks, attendance, and performance reports.
This makes it difficult to give proper attention to each student.

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A smart classroom board.
It could automatically take attendance, track participation, and store notes digitally for students.

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Manual attendance, checking homework, and maintaining records.
These tasks take time away from teaching and student interaction.

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The ethical risk is that if the group that is making the AI doesn't have a diverse group of design thinkers , then the AI will not understand everyone's needs and it may also become biased and unfair .

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AI can help detect the food usage . It can tell us to save energy and reduce waste , even in hospitals , streets, and other public places .

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AI can detect fake news and information and help us find the authentic information from the news and post and can tell us if the given information is true or false.

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It is important to solve for need rather than for fun because technology is useful in our daily life and helps people solve their basic tasks .

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1 job the doesn't exist toay because AI took over it is "data entry or medical records " because AI keeps all the medical records for the patients .

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If I had unlimited resources , I would use the AI to help the medical field to bring in more and good doctors and build more hostipals.

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If I had unlimited budget, I would use AI to improve healthcare. It can help doctors treat diseases faster and save more lives.

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AI can check news and posts before sharing. It can remove false information and show only correct facts.

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AI can help by tracking food usage and saving energy. It can tell people how to reduce waste in daily life.

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In 2040, there may be a job like “AI trainer” who teaches AI how to behave properly and give correct answers.

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It is important to solve real problems instead of making something just for fun. Useful technology helps people in daily life.

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Will provide animals shelter, food & Security.

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If only a few type of people make AI,it may become biased. It may not understand everyone's needs and can treat people unfairly.

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AI can check patterns, verify sources, and flag suspicious content, which helps stop fake information from spreading.

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The goal of AI is to ougment the human intelligence

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AI can track usage, reduce waste, and distribute extra resources properly, so nothing is unnecessarily wasted.

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A goal of AI is to help human not replace them. AI can do work faster,but human can think and make better decisions.

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A future job could be Urban Environment Monitoring Manager, who checks data from smart systems to manage safety and street conditions instead of doing everything manually.

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The problem is early or minor symptoms which people think are normal

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Because solving real needs makes technology useful in real life, while “cool” ideas may look good but don’t actually help much.

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If different types of people are not involved, the system may become biased and unfair.

It may not work properly for everyone.

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A hidden problem is people throwing garbage on road. Everyone sees it but ignore it as normal.

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If the goal is to save the most lives, I’d start with one problem that quietly causes millions of preventable deaths every year:

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If the goal is to save the most lives, I’d start with one problem that quietly causes millions of preventable deaths every year:

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An AI-powered global early warning and response system for diseases.

What it would do:

Detect outbreaks early by analyzing hospital records, pharmacy sales, environmental data, and even unusual symptom patterns

Predict spread of diseases (like dengue, flu, or new viruses) before they become large outbreaks

Guide fast response—alert hospitals, governments, and communities with clear action steps

Optimize resources—send medicines, vaccines, and medical teams exactly where they’re needed most

Reach remote areas using mobile-based alerts and simple AI tools for early diagnosis

Why this first?

Many deaths happen not because cures don’t exist, but because response is too late

Early detection can stop small outbreaks from becoming pandemics

It helps both rich and poor regions, making it globally impactful

Final idea:

Saving lives at scale isn’t just about advanced treatment—it’s about acting early, accurately, and everywhere at once. AI is uniquely powerful at that.

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Doctors struggle with data to keep medical records of different people .

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-AI can help detect and filter misinformation early and at scale, but it works best alongside human judgment.

How AI can help:

Content analysis
AI can scan posts, videos, and articles to spot patterns of misinformation—like misleading headlines, manipulated images, or repeated false claims.

Fact-checking support
It can quickly compare claims with trusted databases and flag content that is likely false or needs verification.

Source credibility checks
AI can analyze whether a source has a history of spreading reliable or unreliable information.

Deepfake detection
It can identify edited or AI-generated images, audio, and videos that try to mislead people.

Limiting spread
Platforms can use AI to reduce the visibility of suspicious content until it is reviewed, slowing down how fast misinformation spreads.

Personalized warnings
Users can get alerts like “This information may be misleading” before sharing something.

Important point:
AI shouldn’t be the final judge of truth. The best system is AI + human fact-checkers + clear policies, so decisions are fair, accurate, and transparent.

Final idea:
Instead of just deleting content, AI should aim to inform users, slow down harmful spread, and promote accurate information.

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The goal is to help humans not replace them,AI makes work faster & easier.

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-AI can reduce global waste by making food and energy use smarter, more precise, and less wasteful.

In food systems:

Smart farming: AI predicts weather, soil needs, and crop health so farmers grow only what’s needed—reducing overproduction.

Better supply chains: AI matches supply with demand, so less food spoils during storage or transport.

Food tracking: Stores and restaurants can use AI to manage inventory and avoid throwing away unsold food.

Consumer guidance: Apps can suggest recipes based on what you already have, reducing household food waste.

In energy systems:

Smart grids: AI balances electricity demand and supply in real time, preventing energy loss.

Efficient usage: Homes and buildings can use AI to automatically adjust lighting, heating, and cooling.

Renewable optimization: AI predicts sunlight and wind patterns to use solar and wind energy more efficiently.

Reducing peak waste: AI spreads out energy usage so less energy is wasted during low or high demand periods.

Overall impact:
AI helps us move from a system of overproduction and wastage to one of precision and efficiency, saving resources and protecting the environment.

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People struggle to manage to much information on the internet. There is so much data that it becomes confusing to find what is correct.

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we can give a brain to streetlight it can help us detect our diseases , by swiching off the light when the person passes by , have a disease

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One possible job in 2040 could be a “Community AI Coordinator.”

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One possible job in 2040 could be a “Community AI Coordinator.”

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Because AI would handle most mundane tasks (like data entry, scheduling, basic analysis), this role would focus on:

Guiding how AI systems are used in local communities

Making sure AI decisions are fair and understandable

Helping people use AI tools effectively (especially those who struggle with technology)

Connecting human needs with what AI systems can actually do

This job doesn’t really exist today in a clear form because right now people are still busy doing the repetitive work themselves.

Idea: As AI takes over routine tasks, new jobs will be more about human judgment, empathy, and coordination, rather than repetitive work.

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ANS:-Because technology that solves a real need actually improves people’s lives, while “cool” tech often ends up unused.

When you focus on need:

You solve real problems (like access to healthcare, education, or clean water)

People actually use and benefit from the solution

Resources (time, money, effort) are used meaningfully

When you focus only on coolness:

The product may look impressive but doesn’t help much

It can become a short-lived trend or gimmick

It may ignore important issues that truly matter in society

Final outcome difference:

Need-based tech creates long-term impact and value

Coolness-based tech often creates short-term excitement but little real change

In simple terms, the best technology is not the one that looks the most advanced—it’s the one that makes life better where it actually matters.

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A hidden problem is that animals getting injured or eating garbage is seen as normal, so people don’t react much even when they notice it.

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Building AI without a diverse group of “design thinkers” can lead to some serious ethical risks:

Bias and unfair outcomes
If the people designing the AI all have similar backgrounds, the system may reflect their assumptions. This can lead to unfair decisions—for example, favoring certain groups over others in hiring, lending, or public services.

Ignoring real community needs
Different communities have different problems. Without diverse voices, AI may solve only a narrow set of issues and overlook challenges faced by others.

Cultural insensitivity
AI systems might misinterpret language, behavior, or values from different cultures, leading to wrong or even offensive outcomes.

Lack of accessibility
People with disabilities or limited digital access may be excluded if their needs aren’t considered during design.

Loss of trust
If people feel the system doesn’t represent or understand them, they are less likely to trust or use it.

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If I give a brain to my school bag it can remind me what books to carry. This will solve the problem of forgetting books.

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The realistic goal of AI today is to augment human intelligence, not replace it.

Augmenting intelligence means:

AI helps humans do tasks faster and better

Humans still make final decisions

It combines machine speed with human judgment, creativity, and ethics

Replacing intelligence would mean:

AI does everything on its own

Humans are no longer needed for thinking or decision-making

Difference in final outcome:

If AI augments, society becomes more productive and efficient, while people still have important roles (like doctors using AI tools for diagnosis).

If AI replaces, it could lead to loss of jobs, reduced human involvement, and ethical risks because machines lack true understanding and values.

In practice, the best future is where AI acts like a powerful assistant, not a substitute—helping humans achieve more rather than taking over completely.

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-A good example of a “hidden” problem is poor waste segregation and management.

In many communities, people mix wet waste, dry waste, and plastic together and just throw it away. It’s often accepted as normal because:

“The garbage collector will handle it”

There aren’t strict systems or awareness

People don’t immediately see the consequences

But this creates bigger problems like:

Increased pollution and landfill waste

Difficulty in recycling

Health risks for sanitation workers

It’s called “hidden” because everyone sees it daily, but few question it or try to fix it—it just becomes “the way things are.”

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Humans struggle to handle too much information at once, like CCTV footage, online posts, and reports.

Because of this, important things are often ignored.

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If streetlights or cameras had a brain, they could automatically notice unusual situations on roads and send alerts quickly, instead of waiting for humans.

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-A clear place is in public services like healthcare and governance.

In hospitals, doctors and staff deal with huge amounts of patient records, test results, and reports every day. It’s hard to quickly find the most important information, which can slow down decisions.

In government services, there’s massive data from population records, surveys, applications, and complaints. Processing and analyzing all of it efficiently is a big challenge.

Even in education systems, teachers handle lots of student data (marks, attendance, progress), making it difficult to give personalized attention.

In all these areas, the problem isn’t lack of data—it’s too much data and not enough efficient systems to manage and use it wisely.

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One repetitive task in life is copying notes again and again. It feels like a waste because I could use that time to understand the topic better instead of just writing.

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A smart streetlight could:

Turn on/off automatically based on real-time movement, saving electricity

Brighten when people are nearby to improve safety

Alert authorities if it detects accidents or unusual activity

Report when it needs repair, instead of waiting for someone to notice

This would help solve problems of energy waste, safety, and maintenance in community services, making cities smarter and more efficient.

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When people report manually about accidents & Injuries of street animals.Because it depends luck and thus many such classes are missed.

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Standing in long queues for basic services (like bill payments, ticket booking, or document verification).

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Answer- Team 2 - Medical Science- Manvi 

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Answer- Team 2 - Medical Science- Manvi 

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carry unnecessary weight of school bags which can cause bone injury