SIH1531 – Student Innovation
- Description: Revolutionizing tourist experience through new IoT technology.
Solution: For this solution, create an IoT network that enhances tourist navigation and offers a seamless exploration experience at historic sites. This SIH hardware problem statement project will feature smart guides integrated with audio and interactive maps, which will help the tourists easily navigate. The real-time information will suggest optimal routes and highlight the nearby landmarks, restaurants, and other services. Inspired by Jaipur’s historic castles, this system will provide multilingual support, ensuring accessibility. This will also make it easier for tourists to engage with the rich history of the sites.
SIH1528 – Student Innovation
- Description: Celebrating India’s rich cultural heritage and traditions using modern technology.
Solution: To accomplish this hardware project, the solution is to develop an IoT-based system. The objective of this hardware PS challenge is to showcase India’s rich culture. This system will feature interactive displays and smart guides. It will provide real-time information, multimedia content, and immersive experiences. This hardware project is inspired by the successful digital integration used during the G20 summit. The innovation will consist of multilingual support that is accessible to global visitors.
SIH1554 – Smart Irrigation System for Precision Farming
- Description: Addressing water scarcity and improving agricultural efficiency.
Solution: For this SIH 2024 hardware problem statement, create a smart irrigation system by developing an IoT technology to automate water management in agriculture. It will amalgamate a network of soil moisture sensors, which will measure real-time moisture levels in the soil. Moreover, the innovation will blend with the weather data (precipitation, humidity, temperature) from local and online sources. By utilizing machine learning, the innovation will learn patterns in soil conditions, crop needs, and weather forecasts. This process will regulate irrigation schedules to reduce water waste and ensure optimal hydration for crops.
This innovation will also use edge computing for decision-making. Furthermore, it will process the data locally in order to minimize latency and maintain functionality even in remote areas. This hardware ps will help out the farmers to control the system using a mobile application. They will receive notifications and recommendations for upgrading water usage efficiency.
SIH1560 – Rapid Colorimetric and AI-Based Methods for Milk Quality Testing
- Description: Increasing the efficiency and speed of milk quality testing processes.
Solution: To address this hardware PS challenge, a portable testing system will be created to assess microbial quality. This solution will offer an alternative to the conventional Methylene Blue Dye Reduction Test. This project will use up-to-date imaging technologies to examine milk samples for contamination and bacterial growth.
Moreover, the hardware PS solution will add smart packaging for processed dairy products. It will also add freshness indicators that monitor temperature, microbial activity, and spoilage. These indicators will alter color based on freshness, which will allow suppliers a visual cue for quality. Adding rapid microbial testing with smart packaging will ensure the safety and freshness of dairy products throughout the supply chain. The solution will help to reduce food waste, improve consumer confidence, and ensure compliance with safety standards.
SIH1575 – Waste to Energy – Waste Recycling
- Description: Improving solid waste management and recycling processes to support environmental sustainability.
Solution: Develop a community-based waste management system on a digital platform that tracks waste from generation to recycling. The key technology for this SIH project is torrefaction, a thermal process that converts solid waste into bioenergy. Utilizing this management will help to reduce landfill waste and generate renewable energy. Furthermore, the infrastructure will capture landfill gas (LFG), treat methane emissions, and alter them into renewable natural gas (RNG) or electricity.
The objective of this project is to build net-zero waste communities. Educational campaigns and local partnerships will foster sustainable practices, drive waste reduction and resource efficiency, and create more environmentally responsible cities.
SIH1580 – Wearable Sensor with AI for Fall Prevention in the Elderly
- Description: Addressing the critical issue of falls among elderly individuals to enhance safety and mobility.
Solution: For this mobility hardware problem statement project in SIH 2024, create an advanced wearable sensor equipped with a gyroscope and AI algorithms to monitor balance and posture continuously. The device will be most useful for older people, individuals with balance-affecting conditions, and those who are recovering from injuries. This innovative device will keep track of the movements, analyze posture, and detect shifts that could signal the risk of falling.
With the help of machine learning, the solution will trace the user’s activity patterns and understand any variations as well as any improvements. Depending on the analysis of the device, predictions and warnings will be offered by AI algorithms to reduce the risk of incidents. When the device detects that the user is prone to a fall, it will give the user immediate alarm sounds. Besides that, the system will also propose specific preventive exercises to improve the user’s stability and postural control.
SIH1611 – Drone-Based Intelligent System for Apple Orchard Management
- Description: Modernizing apple orchard management in Himachal Pradesh to improve efficiency and productivity.
Solution: For this hardware problem statement in SIH 2024, implement a drone-based system to monitor apple orchards. It will employ multispectral and thermal cameras to assess tree health and detect early signs of pests or diseases. This will help orchard managers collect real-time data using these advanced sensors, making informed decisions and improving crop quality.
Furthermore, AI models will allow the farmers to anticipate production levels accurately. This will help optimize resource allocation as well as minimize waste. Innovative marketing tools such as traceability systems and virtual tours will help to enhance the market visibility of Himachal apples. This system will offer transparency regarding the origin and the quality of the product, which will boost customer’s trust and profitability.
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