1.
Smart Public Toilet: Even in the most modern times, Public facing the problem with non hygienic
toilet while traveling or going out. Here the problem statements aim to the development of an
automatic self-cleaning, toilet system. Instead of water washing and all, the focus here is on
ultraviolet disinfection, hot air drying, and smart saving of water. The final result is a toilet like
that of a home. Also, there should be a provision to know the availability of the nearest toilets in
working condition. In addition to the above, the smart toilet could also include the following
features: A built-in air freshener: This would help to keep the toilet smelling fresh and clean. A
motion sensor: This would automatically flush the toilet and open the lid when someone
approaches. A built-in bidet: This would provide a more hygienic way to clean oneself after using
the toilet.
2. : During farming, farmers/Labours will be working in the sunlight due to which they may be
affected with sunstroke and heavy sweat. Hence, there is need to develop a system to protect
themselves from sun stroke and maintain good health conditions.
3. PS-01
4. AI-Powered Defense Against Cyber-Crimes
5. The rise of advanced technology has brought not only societal
advancements but also a surge in cyber-crimes such as phishing
attacks, financial fraud, and the proliferation of deep fakes. Between
January and April 2024 alone, over 740,000 complaints were registered
in India, resulting in losses exceeding Rs 1,750 crore. AI is increasingly
being used by cybercriminals to craft sophisticated and hard-to-detect
scams. For example, AI-powered phishing attacks now achieve success
rates comparable to those created by human experts. Additionally, deep
fakes are causing significant damage, with AI-generated voice clones
being used to deceive individuals. There is an urgent need for a solution
that can safeguard users from these emerging threats.
Desired Solution:
Participants are tasked with developing a platform—whether a web
portal, software, or mobile application—that can be installed on personal
devices to counteract these threats. The solution should include:
- Spam and Fraud Detection: An intelligent filtering system that blocks
spam messages and calls, detects phishing attempts, and alerts users
when they encounter fraudulent links.
- AI Threat Analysis: Integration of AI to predict, analyze, and counteract
sophisticated threats, identifying patterns and vulnerabilities.
- User Awareness: Features to educate and raise awareness among
users about potential cyber threats, providing real-time tips and alerts.
- Deep Fake Detection: A mechanism allowing users to upload media
(photos, videos, audio) and receive a probability assessment of the
content's authenticity, identifying whether it is original or a deep fake.
- User-Friendly Interface: A seamless and intuitive interface for users to
interact with the platform, ensuring accessibility for non-tech-savvy
individuals.
Brownie Points:
- Advanced Threat Prediction: Incorporate machine learning models that
continually adapt to new threats and improve over time.
- Multi-Layered Defense: Develop a multi-faceted approach combining
AI with traditional cybersecurity measures to create a robust defense
system.
- Community Reporting: Include a feature that allows users to report
suspicious activities, contributing to a collective database that enhances
the system's detection capabilities.
- Chrome Extension: Develop an additional Chrome extension alongside
the primary software, offering real-time protection while browsing the
web.
- Cyber Crime Response Guide: Provide a comprehensive guide within
the platform detailing the steps users should take if they become victims
of cyber-crime, including reporting mechanisms and recovery tips.
By implementing this technology, safety and awareness among users
can be significantly enhanced, leading to a marked reduction in phishing
attacks, financial frauds, and deep fake incidents. This platform will not
only protect users but also empower them with the knowledge to
navigate the digital world safely.
6. PS-02
7. Efficient Management, Disposal, and Recycling of E-Waste
8. E-waste, or electronic waste, is a major environmental and public health
issue. By 2025, global e-waste is expected to reach approximately 2.2
billion tons, with only 16%-18% currently being recycled. Improper
disposal of e-waste, which contains hazardous materials, poses severe
environmental risks as these substances can leach into soil and water,
affecting human health and wildlife. There is a significant lack of public
awareness about the dangers of improper disposal and limited access
to information on responsible e-waste management, leading to
increased environmental pollution.
Desired Solution:
Participants are tasked with developing a comprehensive platform to
facilitate effective e-waste management and disposal. The solution
should include:
- Web Portal for Citizens: A user-friendly web portal providing easy
access to e-waste management resources, including agencies, contact
information, and disposal locations.
- Web Portal or Mobile Application for E-Waste Agencies: A platform for
agencies to manage collection or drop-off requests, assign volunteers,
and ensure efficient operations.
- Tracking and Monitoring: Features for tracking e-waste from collection
to disposal, ensuring transparency and efficiency.
- User Incentives: A reward system offering e-tokens or points for e-
waste management activities, redeemable at electronic stores or for
other purchases.
- Awareness Campaign: Tools to educate users about proper e-waste
disposal and its environmental impact.
Brownie Points:
- Community Involvement: Features that promote community-driven e-
waste collection drives or educational workshops.
- Gamification: Incorporate gamified elements like leaderboards or
achievement badges to motivate active participation in e-waste
management.
- Collaboration with Platforms: Partner with online platforms such as
Amazon, Flipkart, or Zomato to enhance the e-waste collection process
and increase outreach.
By implementing this platform, the growing e-waste challenge can be
addressed effectively, improving public awareness and facilitating
efficient management. This solution will significantly reduce the
environmental impact of e-waste and enhance overall public health
9. IoT-Enabled Smart Traffic Light System with Emergency Vehicle
Priority
10. Traffic congestion and delays can be detrimental, particularly for
emergency vehicles needing prompt access. This problem statement
focuses on developing an IoT-enabled smart traffic light system to
address these challenges. The system will prioritize emergency vehicles
such as ambulances and fire trucks by detecting them through GPS or
RFID tags. It will utilize Arduino microcontrollers to control traffic signals
and leverage IoT technologies for real-time traffic data analysis. The
goal is to optimize traffic flow, reduce congestion, and enhance road
safety. Additionally, the system will include environmental monitoring
and emergency override capabilities. A mobile app or web dashboard
will be developed for city officials and emergency services to oversee
and control the system.
Desired Solution:
- Emergency Vehicle Detection: Use GPS or RFID technology to detect
emergency vehicles and prioritize their movement through traffic
signals.
- Traffic Signal Control: Deploy Arduino microcontrollers to manage
traffic light operations based on real-time data and vehicle priority.
- Real-Time Data Analysis: Utilize IoT technologies to collect and
analyze traffic data, optimizing traffic flow and reducing congestion.
- Cloud Connectivity: Implement cloud integration for remote monitoring
and control of traffic signals.
- Predictive Analytics: Apply predictive analytics to dynamically adjust
traffic signals based on traffic conditions and emergency vehicle
presence.
- Emergency Override Capability: Provide manual override functions for
urgent situations.
- Mobile App/Web Dashboard: Develop a mobile app or web dashboard
for monitoring traffic conditions and managing the system.
Brownie Points:
- Route Optimization for Emergency Vehicles: Allow emergency vehicle
drivers to input their source and destination. Ensure that the system
provides a route where all traffic signals are optimized to remain open
for the immediate movement of the emergency vehicle.
- Additional Features: Include damage reporting and roadside
assistance within the system.
- Environmental Monitoring: Integrate sensors to monitor environmental
factors like air quality.
The IoT-enabled smart traffic light system is designed to enhance road
safety and traffic management by prioritizing emergency vehicles and
improving traffic flow. By integrating real-time data analysis, predictive
analytics, and cloud connectivity, the system aims to reduce congestion
and ensure timely emergency responses. The inclusion of
environmental monitoring and route optimization for emergency vehicles
adds significant value. This comprehensive approach will support
efficient traffic management and swift emergency services, contributing
to safer and more responsive urban environments.
11. Automatic Water Dispensing System for Plants
12.
Managing plant care, particularly watering, can be challenging when
homeowners are away. The problem statement focuses on developing
an automatic water dispensing system designed to address this issue.
This system will ensure plants receive the appropriate amount of water
even in the absence of the owner. The system will utilize a reservoir to
store water and employ sensors to measure soil moisture and reservoir
levels. The dispensing mechanism will operate based on moisture levels
in the soil or predefined time intervals, providing precise and efficient
watering. The goal is to create a reliable and user-friendly solution that
maintains optimal plant health with minimal manual intervention.
Desired Solution:
- Water Reservoir Management: Design and implement a system to
store water in a reservoir, with mechanisms to measure and monitor
water levels.
- Soil Moisture Sensors: Integrate sensors to measure the moisture
level of the soil, triggering the dispensing system based on soil needs.
- Automatic Dispensing: Develop an automated system to dispense
water from the reservoir to the plants, controlled by soil moisture
readings or fixed time intervals.
- Fixed Time Interval Dispensing: Allow for preset watering schedules in
addition to moisture-based triggering, offering flexibility in watering
routines.
- User Interface: Create a user-friendly interface for setting up and
adjusting watering schedules, monitoring system status, and receiving
notifications.
- Connectivity: Optionally integrate connectivity features for remote
monitoring and control via a mobile app or web dashboard.
Brownie Points:
- Integration with Weather Data: Enhance the system by integrating
weather data to adjust watering schedules based on current and
forecasted weather conditions.
- Eco-Friendly Design: Incorporate features that reduce water waste,
such as rainwater collection or filtration systems.
- Alerts and Notifications: Implement a notification system to alert users
about low water levels, maintenance needs, or system malfunctions.
- Community Sharing: Develop features that allow users to share their
watering schedules or plant care tips with a community of users.
The automatic water dispensing system aims to simplify plant care for
homeowners by providing a reliable and efficient solution for watering
plants in their absence. By combining soil moisture sensors, automatic
dispensing controls, and optional connectivity features, the system will
ensure that plants receive the right amount of water as needed. The
addition of weather data integration and eco-friendly features will further
enhance the system's effectiveness and sustainability, making it a
valuable tool for plant enthusiasts and busy homeowners alike.
13. Smartphone Application for Real-Time Driving Behavior
Analysis and Feedback
Traditional methods of assessing driving behavior for insurance
purposes often involve costly hardware installations or are limited by
data points. In India, where multiple individuals might drive the same
vehicle, accurately assessing driving behavior can be challenging.
There is a need for a more accessible and cost-effective solution to
provide comprehensive driving behavior analysis. Key challenges
include high costs of OBD-II devices, limited adoption of telematics, and
the need for vehicle compatibility checks. Additionally, there is a lack of
incentives for users to consistently use driving behavior apps and
limited integration with insurance systems.
Desired Solution:
Develop a smartphone application that leverages built-in sensors to
collect and analyze driving data. The app should include:
- Sensor Integration: Utilize GPS, accelerometer, and gyroscope to
monitor vehicle movement and driving patterns.
- Trip Recording: Automatically record start and stop times for each trip.
- Behavior Analysis: Analyze driving behaviors such as speeding, harsh
braking, and cornering.
- Navigation Assistance: Provide turn-by-turn navigation to aid drivers.
- Driving Logs and Reports: Generate detailed logs and usage-based
insurance (UBI) reports.
- Rewards System: Implement a rewards system where users earn
coins for safe driving behaviors.
- Insurance Integration: Facilitate in-app insurance policy purchases,
potentially at discounted rates based on driving scores.
- In-App Store: Enable users to redeem reward coins for various
benefits.
Brownie Points:
- Community Engagement: Features that encourage community-driven
safe driving initiatives or educational campaigns.
- Gamification: Implement elements such as leaderboards or
achievement badges to motivate users.
- Integration with Platforms: Collaborate with insurance providers and
navigation services to enhance app functionality and user experience.
- Additional Features: Include damage reporting and roadside
assistance.
This smartphone-based application aims to provide a comprehensive,
cost-effective solution for real-time driving behavior analysis. By
leveraging built-in sensors, the app offers detailed insights into driving
patterns, promotes safer driving through feedback and rewards, and
integrates seamlessly with insurance systems. This approach
addresses the barriers of hardware costs and vehicle compatibility,
offering a more accessible solution for a wide range of users. The
added features like rewards and in-app insurance purchasing create a
more engaging experience, potentially improving road safety and user
satisfaction.
14. AI-Powered Defense Against Cyber-Crimes
15. The rise of advanced technology has brought not only societal
advancements but also a surge in cyber-crimes such as phishing
attacks, financial fraud, and the proliferation of deep fakes. Between
January and April 2024 alone, over 740,000 complaints were registered
in India, resulting in losses exceeding Rs 1,750 crore. AI is increasingly
being used by cybercriminals to craft sophisticated and hard-to-detect
scams. For example, AI-powered phishing attacks now achieve success
rates comparable to those created by human experts. Additionally, deep
fakes are causing significant damage, with AI-generated voice clones
being used to deceive individuals. There is an urgent need for a solution
that can safeguard users from these emerging threats.
Desired Solution:
Participants are tasked with developing a platform—whether a web
portal, software, or mobile application—that can be installed on personal
devices to counteract these threats. The solution should include:
- Spam and Fraud Detection: An intelligent filtering system that blocks
spam messages and calls, detects phishing attempts, and alerts users
when they encounter fraudulent links.
- AI Threat Analysis: Integration of AI to predict, analyze, and counteract
sophisticated threats, identifying patterns and vulnerabilities.
- User Awareness: Features to educate and raise awareness among
users about potential cyber threats, providing real-time tips and alerts.
- Deep Fake Detection: A mechanism allowing users to upload media
(photos, videos, audio) and receive a probability assessment of the
content's authenticity, identifying whether it is original or a deep fake.
- User-Friendly Interface: A seamless and intuitive interface for users to
interact with the platform, ensuring accessibility for non-tech-savvy
individuals.
Brownie Points:
- Advanced Threat Prediction: Incorporate machine learning models that
continually adapt to new threats and improve over time.
- Multi-Layered Defense: Develop a multi-faceted approach combining
AI with traditional cybersecurity measures to create a robust defense
system.
- Community Reporting: Include a feature that allows users to report
suspicious activities, contributing to a collective database that enhances
the system's detection capabilities.
- Chrome Extension: Develop an additional Chrome extension alongside
the primary software, offering real-time protection while browsing the
web.
- Cyber Crime Response Guide: Provide a comprehensive guide within
the platform detailing the steps users should take if they become victims
of cyber-crime, including reporting mechanisms and recovery tips.
By implementing this technology, safety and awareness among users
can be significantly enhanced, leading to a marked reduction in phishing
attacks, financial frauds, and deep fake incidents. This platform will not
only protect users but also empower them with the knowledge to
navigate the digital world safely.
16.
