Medication management is a significant challenge for individuals who are required to consume multiple medicines at different times. This is particularly relevant for elderly individuals, patients undergoing long-term treatment, and individuals managing complex medication schedules.

Common medication-related issues include missed doses, incorrect medication intake, repeated consumption of the same dose, and the inability to effectively monitor whether prescribed medication has been taken.

Participants are required to design and develop a low-cost automated system that assists users in managing their medication schedule while reducing the possibility of common medication-related errors.

The proposed solution should address one or more challenges associated with medication management, such as timely medication access, medication identification, missed doses, repeated doses, user assistance, monitoring, or communication.

The system must demonstrate a meaningful level of automation and should go beyond a basic reminder or notification mechanism.

Participants are encouraged to explore innovative approaches in areas including automated assistance, intelligent decision-making, verification mechanisms, accessibility, user interaction, monitoring, and communication.

Teams are free to determine the technical approach, system architecture, and implementation methodology based on their proposed solution.

Water loss caused by leakage, overflow, abnormal consumption, and delayed human intervention remains a significant challenge in residential, commercial, and small-scale infrastructure environments.

In many situations, water loss continues for extended periods before the issue is identified. Conventional systems may provide basic monitoring or alerts but often depend on human intervention before corrective action can be taken.

Participants are required to design and develop a low-cost automated system capable of identifying potential abnormal water usage or water loss and initiating an appropriate response to reduce unnecessary wastage.

The proposed solution should demonstrate the ability to distinguish meaningful or potentially abnormal conditions from normal operation based on the team's chosen approach.

The system should focus not only on identifying a potential problem but also on providing an appropriate automated response.

Participants may explore innovative approaches involving intelligent decision-making, adaptive behaviour, predictive analysis, automated intervention, efficient resource management, reduction of false alarms, and improved reliability.

Teams are free to define the specific application scenario and technical methodology for their proposed solution.

Electrical hazards may arise due to abnormal operating conditions, excessive loading, overheating, equipment malfunction, or other developing faults. If such conditions remain undetected, they may lead to equipment damage, electrical accidents, or potentially dangerous situations.

In many cases, conventional protection mechanisms respond only after predefined operating limits have been exceeded and may not provide meaningful information regarding developing or unusual conditions.

Participants are required to design and develop a low-cost intelligent system capable of identifying potentially hazardous electrical operating conditions and initiating an appropriate preventive response.

The proposed solution should demonstrate a complete automation cycle involving the identification of a potentially unsafe condition, assessment of the situation, and implementation of an appropriate response.

The solution must go beyond basic parameter monitoring or simple threshold-based indication.

Participants are encouraged to explore innovative approaches involving early risk identification, abnormal behaviour detection, intelligent decision-making, predictive analysis, adaptive responses, automated preventive action, and improved safety mechanisms.

Teams are free to determine the specific hazard scenario, technical methodology, and implementation approach based on their proposed solution.

Not every problem worth solving falls within a domain defined in advance. Teams often arrive having already observed a problem for themselves, in their surroundings, their institution, their field of study, or their daily life, and with a clear idea of what a working solution to it would look like.

This statement exists for those teams. It prescribes no domain and no application area. What it does prescribe is the form the solution must take, because the purpose of this hackathon is the design and development of working systems rather than of applications alone.

Participants are required to identify a real and clearly defined problem of their own choosing, and to design and develop a low-cost working system that addresses it. The problem, its context, and the reason it merits a solution must be presented as part of the submission.

The proposed solution must be realised either as a hardware system or as a combination of hardware and software. A purely software solution, such as an application, a website, a dashboard, a model, or any other entirely computational tool, does not qualify under this statement regardless of its merit.

The system must demonstrate a meaningful level of automation and must be presented in working form. A concept, a simulation, or a design proposal alone will not be considered a complete submission.

Participants are free to work in any domain, including but not limited to healthcare, agriculture, environment, energy, mobility, accessibility, safety, and assistive technology, and are encouraged to explore approaches involving sensing, actuation, embedded intelligence, automated decision-making, verification, and user interaction.

Teams are free to determine the problem, the technical approach, the system architecture, and the implementation methodology. Software may carry any part of the solution, whether control, intelligence, interface, or analysis, provided that it operates together with hardware the team has built.