Problem Statement : At the project site, five wagons sequentially perform distinct process steps. These steps take place at designated locations on the site, typically spaced uniformly for a given project, although the distance may vary. When each wagon reaches a specific location to execute its process step, it sends process parameter logs to an IoT server. The objective is to devise a solution that enables the IoT server to efficiently organize and tag the logs from each of the five wagons based on their respective locations. For reference, project sites may span 20-30 km, with approximately 10 m spacing between job locations.
Propose a solution for collecting relevant data from the wagons using suitable sensors. This solution should include transmitting the collected data to the server alongside the process parameter logs. Additionally, design a method or algorithm on the server side to consolidate data from different wagons when they are at the same location.
IoT Data Management Application for iPad.
Develop an innovative iPad application capable of efficiently managing data from IoT sensors. The
application must seamlessly transition between online and offline modes, ensuring uninterrupted
functionality regardless of connectivity status. It should store sensor data locally on the iPad while
offline, with the capability to sync data to an AWS cloud database when online. Additionally, the
application should provide basic data analysis features to enhance user insights.
Features :
- Offline Data Storage.
- Basic Data Analysis.
- Online mode with AWS integration.
- Partial Database Sync.
- User Interface.
Develop an IoT based smart & affordable solution to protect crops from wild animals
Problem Description: Design an efficient and cost-effective solution using motion sensors, deterrents and video monitoring to safeguard crops from wild animal intrusions. Real-time alerts and reduced crop losses are key benefits.
IoT based Solution for monitoring pollution through pesticide in fresh Fruits and vegetables.
Problem Description: Design an IoT-based solution to monitor pesticide pollution in fresh fruits and vegetables. The system should provide real-time information to consumers, allowing them to make informed choices about the safety of the produce they purchase. By detecting pesticide residues, this solution aims to enhance food safety and promote healthier consumption
Develop a solution Patient Health Monitoring System.
Problem Description: Design an intelligent system that continuously monitors vital signs (such as heart rate, blood pressure, and oxygen levels) of patients. The system alerts healthcare providers in real time if any abnormalities are detected, ensuring timely intervention and improved patient outcomes.
Developing an embedded system for smart transportation, optimizing traffic flow and reducing congestion through real-time data analysis.
Problem Description: Create an embedded system that leverages real-time data analysis to optimize traffic flow, reduce congestion, and enhance overall transportation efficiency. By dynamically adjusting signals, rerouting vehicles, and providing real-time updates to commuters, we can transform urban mobility.
Developing an embedded system for autonomous vehicle navigation and control in urban environments.
Problem Description: Design an embedded system that enables autonomous vehicles to navigate seamlessly through city streets, obey traffic rules, and adapt to dynamic scenarios. By integrating sensors, localization algorithms, path planning, and control mechanisms, we can create safe and efficient urban mobility.
Creating an embedded system for waste management and recycling, including smart bin monitoring and optimization of collection routes.
Problem Description: Develop an embedded system that monitors smart bins, optimizes waste collection routes, and promotes efficient recycling. By integrating sensors, data analytics, and route optimization algorithms, we can enhance waste management practices and contribute to a cleaner environment.
Creating a robotic system for autonomous agricultural operations, including planting, watering, and harvesting crops.
Problem Description: Designing a robotic system for autonomous agricultural operations presents several challenges. The system needs to be capable of efficiently performing tasks such as planting, watering, and harvesting crops without human intervention. Key challenges include developing robotic arms capable of delicate manipulation for planting seeds and harvesting crops, implementing sensors for detecting soil moisture levels and plant health to optimize watering, and integrating AI algorithms for navigation and decision-making in dynamic outdoor environments. Additionally, ensuring the system is cost-effective, reliable, and adaptable to various crops and field conditions is essential for its practical implementation in agriculture.
Developing a robotic solution for assisting people with disabilities in their daily tasks, such as mobility assistance or household chores.
Problem Description: Create an intelligent robotic system that assists individuals with disabilities in their daily activities. Whether itís providing mobility support, helping with household chores, or enhancing independence, this solution aims to improve the quality of life for those with diverse needs.
Autonomous Infrastructure Inspection and Maintenance Robotics System.
Problem Description : Design a robotic system capable of autonomously inspecting and maintaining infrastructure in hazardous or hard-to-reach environments, such as bridges, pipelines, or industrial facilities, to improve safety and efficiency. The solution should incorporate advanced sensors and navigation algorithms to enable the robot to navigate complex terrain and perform tasks such as inspection, maintenance, and data collection.
Swarm Robotics Solution for Disaster Response Scenarios
Problem Description : Create a swarm robotics solution for disaster response scenarios, enabling a team of autonomous robots to collaboratively search for survivors, assess structural integrity, and deliver aid in areas affected by natural disasters, such as earthquakes or floods. The solution should include coordination algorithms to enable effective communication and collaboration among the robots, as well as robust navigation and sensing capabilities to operate in challenging and dynamic environments.
Create an AI-powered wellness platform for personalized fitness routines, nutrition plans, and mental well-being support.
Description: The AI-driven wellness platform will address the growing need for personalized health solutions by offering tailored workout regimens, nutrition plans, and mental well-being support. Through advanced algorithms, users will receive customized guidance, progress tracking, and community engagement, empowering them to achieve holistic wellness goals effectively and conveniently. Seamless accessibility and integration will ensure users can access their wellness journey with ease across devices.
Developing an AI-based recommendation system for optimizing route planning and scheduling for logistics and transportation companies.
Problem Description: Create an intelligent recommendation system that leverages AI algorithms to optimize route planning and scheduling for logistics and transportation companies. By analyzing historical data, real-time traffic conditions, and delivery constraints, this system aims to enhance efficiency and reduce operational costs.
Building a machine learning model to analyze and predict traffic patterns for optimizing transportation and urban planning.
Problem Description: Develop an intelligent model that analyzes historical traffic data to predict patterns, optimize transportation routes, and enhance urban planning. By leveraging machine learning techniques, we can improve traffic flow, reduce congestion, and create more efficient cities.
Leveraging Machine Learning for Enhanced Diagnosis and Treatment Recommendation in Healthcare.
Problem Description: A hospital wants to improve the diagnosis and treatment of patients with various diseases. The hospital has a large database of medical records, including symptoms, test results, diagnoses, and treatments. The objective is to devise a solution that enables the hospital to use this data to train a machine-learning model that can accurately predict the diagnosis and recommend the best treatment for a given patient.
AI-driven Optimization of Public Bus Scheduling and Routing for Enhanced Transportation Service.
Problem Description: In a city’s public transportation system, buses operate along multiple routes with varying passenger demand throughout the day. Develop an AI-based solution to optimize bus scheduling and routing in real-time, taking into account factors such as traffic congestion, passenger load, and route efficiency. The goal is to improve overall service reliability, reduce wait times, and enhance the passenger experience.
Problem statement : Develop human fall detection from cctv camera view/angle. Raise the alert if person is laying on the ground for more than 10sec.
Purpose : industrial safety is very important. Often worker fall or fait due to various reasons. Most of the time,that will be detected after sometime. Creative computer vision solution can help identify such extreme events and decrease chances the damage. Various alert like sending situational images over app or triggering buzzer etc can be implemented.
Problem statement : Develop hand gloves detection systems. Raise alert and trigger the wifi relay if person try to operate machine without hand gloves.
Purpose : Often equipment handlers try to bypass the SOPs and operate machine without gloves. Systems like this helps reduce risk of accidents and educate workers on safety procedures.
Note : Type of Gloves needed to be detected will be given on the day of Hackathon.
Choose any problem Statement from any Technologies.
Autonomous Tech
Edge Computing
Drone Technology
Machine Learning
Artificial Intelligence
Internet of Things
Robotics
Agri Tech
Embedded Systems
Biomedics
etc…