prof-freakenstein/SIH2024 huggingface dataset:
Title: Development of Smart Toilet. Category: MedTech  BioTech  HealthTech. Subcategory: Hardware. Organization: Government of Kerala. Description: Even in the most modern times, we are facing the problem, especially ladies, which is not having a hygienic toilet while traveling or going out. Here the problem statements aim to the development of an automatic selfcleaning, 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 builtin 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 builtin bidet This would provide a more hygienic way to clean oneself after using the toilet.
Title: Domestic Waste Management. Category: Clean  Green Technology. Subcategory: Software. Organization: Government of Kerala. Description: Improper waste disposal not only contributes to environmental pollution but also affects the overall cleanliness and hygiene of a neighborhood. The challenge is to develop innovative solutions that address the specific issue of neighbors disposing of waste bags irresponsibly, causing litter and unsightly conditions. Participants are encouraged to propose and implement ideas that tackle this challenge and promote responsible waste management practices within the community. The solutions should focus on Awareness and Education Develop educational campaigns or initiatives to raise awareness among neighbors about the importance of proper waste disposal. This can include distributing informative materials, organizing community workshops, or leveraging digital platforms to educate residents about waste management best practices. Behavioral Change Design strategies to encourage neighbors to adopt responsible waste disposal habits. This can involve implementing incentive programs, creating friendly competitions, or establishing neighborhood agreements that promote and reward responsible waste management behaviors. Community Engagement Foster a sense of community ownership by engaging residents in waste management activities. This can involve organizing neighborhood cleanup drives, establishing community composting initiatives, or facilitating recycling programs to encourage active participation and responsibility among neighbors. Infrastructure Improvement Propose solutions that address the lack of proper waste management infrastructure in the neighborhood. This can include advocating for the installation of additional waste bins, implementing a neighborhood waste collection system, or collaborating with local authorities to improve waste disposal facilities. Technology and Innovation Leverage technology to support responsible waste management practices. This can involve developing mobile applications for waste collection scheduling and reminders, implementing smart waste bins with sensors and monitoring capabilities, or using blockchain technology to track and incentivize proper waste disposal. By addressing these aspects, the proposed solutions will contribute to overcoming the challenge of neighbors disposing of waste bags irresponsibly and promoting a cleaner, more sustainable neighborhood. The solutions should be practical, scalable, and feasible to implement within a residential community, fostering positive behavioral changes and encouraging a collective effort toward responsible waste management.
Title: Compilation and Collection of optimum Level variable of data set from the Chemical and Petrochemical Industries in the country, aiming to smoothen the decisionmaking and insight generation in the strategic initiative.. Category: Smart Automation. Subcategory: Software. Organization: Ministry of Chemicals and Fertilizers. Description: The chemical and petrochemical industries generate a vast amount of data related to production, supply chain, market trends, quality control, and environmental impact. However, the availability, accessibility, and organization of this data vary across different companies and stakeholders, hindering effective decisionmaking and insight generation at a broader industry level. The challenge is to develop a solution that enables the compilation and collection of an optimum level of data sets from the chemical and petrochemical industries. The solution should address the following key aspects Data Standardization and Integration Design a framework that standardizes data formats, definitions, and structures across various companies and stakeholders within the industry. The solution should facilitate the integration of disparate data sources, including production data, laboratory test results, market data, and regulatory information, into a cohesive dataset. Data Collection and Aggregation Develop mechanisms for efficient data collection and aggregation from chemical and petrochemical companies. The solution should include automated data collection processes, data validation, and quality checks to ensure the accuracy and reliability of the compiled dataset. Optimum Level of Data Selection Define criteria and algorithms to determine the optimum level of data to be collected and included in the dataset. The solution should consider factors such as data relevance, representativeness, statistical significance, and data privacy regulations to ensure the collection of meaningful and valuable information without compromising data confidentiality. Data Analysis and Insight Generation Implement analytical tools and techniques to analyze the compiled dataset and generate actionable insights. The solution should enable stakeholders to identify trends, patterns, and correlations within the data, facilitating strategic decisionmaking, performance benchmarking, and industrywide improvements. Data Privacy and Security Incorporate robust data privacy and security measures to protect sensitive information and ensure compliance with applicable regulations. The solution should prioritize data anonymization, encryption, access controls, and audit trails to safeguard the confidentiality and integrity of the collected data. By addressing these aspects, the proposed solution will streamline data compilation and collection processes within the chemical and petrochemical industries. It will enable stakeholders to access comprehensive and reliable datasets, promote datadriven decisionmaking, facilitate industrywide insights and collaboration, and drive strategic initiatives for growth, sustainability, and innovation in the industry.
Title: Incab smart guidance and support system for Dragline Operator. Category: Smart Vehicles. Subcategory: Software. Organization: Ministry of coal. Description: Operating a dragline, a large excavation machine used in mining and construction requires precision, skill, and a deep understanding of the operating environment. However, there is a need for a smart guidance and support system that assists dragline operators by providing realtime information, alerts, and guidance, ultimately enhancing their performance and ensuring safe and accurate operations. The challenge is to develop an incab smart guidance and support system that empowers dragline operators with the following capabilities Realtime Environmental Awareness Develop a system that utilizes computer vision or sensorbased technologies to provide dragline operators with realtime information about their surroundings. This includes detecting and alerting the operator about potential hazards, obstacles, or unsafe conditions, such as proximity to other equipment, uneven terrain, or approaching vehicles. Operational Guidance and Monitoring Create an interface that offers intuitive guidance and instructions to the dragline operator based on realtime data analysis. The system should provide visual cues, overlays, or augmented reality displays that assist the operator in achieving precise digging, loading, and dumping operations, optimizing productivity, and minimizing material loss. Performance Monitoring and Analysis Implement mechanisms to track and analyze the performance of dragline operators in real time. The system should capture relevant operational data, such as cycle times, digging depth, fuel consumption, and maintenance requirements, to provide feedback and performance metrics that can be used for continuous improvement. Operator Training and Skill Development Design interactive modules or simulations within the system that facilitate operator training and skill development. The system should provide virtual scenarios, realtime feedback, and performance benchmarks to help operators enhance their skills, decisionmaking abilities, and overall efficiency. Integration and Scalability Develop a solution that can seamlessly integrate with existing Dragline systems and infrastructure. The system should be compatible with the draglines control systems, sensors, and data sources, ensuring reliable data transmission and compatibility across different dragline models or manufacturers. By addressing these aspects, the proposed incab smart guidance and support system will enhance the situational awareness, operational efficiency, and safety of dragline operators. It will empower operators to make informed decisions, optimize their operations, and contribute to the overall productivity and success of mining or construction projects.
Title: Forecasting and scheduling of railway rakes.. Category: Smart Automation. Subcategory: Software. Organization: Ministry of coal. Description: At present rake supply is made by railway on a cluster basis  Coalfield basis for a group of mines. â At times, the placement of rakes in a siding is made where coal sock is not adequate. This leads to the payment of demurrage charges. â A digital platform algorithm needs to be created for all the available railway siding where the updated status of coal stock in siding shall be maintained online. â This will help in sending railway rakes available at the nearest location and also reduce in demurrage cost of the company.
Title: Analytics based on Govt. Land Information SystemGLIS Data. Category: Agriculture, FoodTech  Rural Development. Subcategory: Software. Organization: Ministry of coal. Description: The Government Land Information System GLIS contains a vast amount of geospatial data related to land resources, land ownership, boundaries, land use, and other valuable information. However, harnessing the potential of this data and transforming it into actionable insights remains a challenge. The goal of this hackathon is to develop analytics solutions that leverage GLIS data to address critical societal challenges and support evidencebased decisionmaking. Participants are encouraged to explore and analyze GLIS data in creative ways to generate meaningful insights. The solutions should focus on one or more of the following domains Urban Planning Develop analytics tools that enable urban planners to make informed decisions regarding land use, zoning regulations, infrastructure development, and urban expansion. The solutions should help optimize resource allocation, improve urban mobility, and enhance the quality of life in cities. Infrastructure Development Design analytics models that identify optimal locations for infrastructure projects such as roads, bridges, airports, or power plants. The solutions should consider factors like environmental impact, accessibility, population density, and existing infrastructure to support sustainable and efficient development. Environmental Conservation Develop analyticsbased approaches to monitor and manage natural resources, protected areas, and environmental impact assessments. The solutions should enable the identification of ecologically sensitive areas, conservation priorities, and strategies for mitigating environmental risks. Land Management and Governance Create analytics solutions that facilitate efficient land administration, land registration, and landuse planning processes. The solutions should enhance transparency, streamline land transactions, prevent encroachments, and support equitable distribution of land resources. Socioeconomic Analysis Utilize GLIS data to conduct socioeconomic analysis at various spatial scales. Develop models that correlate land characteristics, demographic data, economic indicators, and social factors to gain insights into patterns, disparities, and potential interventions for inclusive development. Participants should leverage their expertise in data analytics, machine learning, geospatial analysis, and visualization to create innovative solutions. The solutions should demonstrate the ability to handle large datasets, ensure data quality, provide accurate predictions or recommendations, and offer userfriendly interfaces for stakeholders to interact with the insights generated. By harnessing the power of GLIS data through advanced analytics, the proposed solutions will empower government agencies, policymakers, urban planners, environmentalists, and other stakeholders to make informed decisions, optimize resource allocation, and foster sustainable development in various domains.
Title: Application of Image Analytics for Tree enumeration for diversion of Forest Land.. Category: Miscellaneous. Subcategory: Software. Organization: Ministry of coal. Description: When forest land needs to be diverted for developmental projects, it is crucial to have an accurate understanding of the tree population within the affected area. Traditional methods of tree enumeration, such as manual surveys or groundbased assessments, can be timeconsuming, expensive, and prone to errors. To address these challenges, the challenge is to develop an image analytics solution that automates the tree enumeration process using satellite imagery or aerial photographs, or any other means using section view.. The proposed solution should address the following key aspects Image Data Analysis Develop a computer vision algorithm that can analyze satellite imagery or aerial photographs to detect and identify trees within the designated forest areas accurately. The algorithm should account for variations in tree species, sizes, and environmental conditions to ensure reliable results. Tree Counting and Categorization Design a system that can count the number of trees in the specified area and categorize them based on their species or other relevant parameters like diametergirth. The solution should provide accurate and detailed information about the tree population to facilitate decisionmaking during the land diversion process. Accuracy and Validation Create mechanisms to validate the accuracy of the image analytics solution by comparing the results with groundtruth data obtained through manual surveys or other reliable methods. The solution should aim to achieve a high level of accuracy and minimize false positives or false negatives in tree identification and counting. Scalability and Efficiency Develop an efficient and scalable solution capable of processing large volumes of image data within a reasonable timeframe. Consider optimization techniques and parallel processing approaches to ensure timely results, especially for large forest areas or timesensitive projects. Integration and Visualization Enable seamless integration of the image analytics solution with existing forest management systems or tools. Provide visualizations or interactive interfaces that allow users to explore and interpret the results easily. This could include the generation of maps, reports, or other visual representations of the tree enumeration data. Ethical and Environmental Considerations Ensure the solution adheres to ethical practices, respects privacy concerns, and minimizes potential environmental impact. Consider the privacy of sensitive data, secure storage of images, and compliance with environmental regulations throughout the development and deployment of the solution. By addressing these aspects, the proposed image analytics solution will facilitate efficient and accurate tree enumeration for the diversion of forest land. It will provide stakeholders with vital information to make informed decisions regarding land usage, environmental impact assessment, and conservation efforts, ensuring responsible and sustainable development.
Title: Development of a Telematic control unit for capturing vital data of a vehicle without using company fitted telemetry data port.. Category: Smart Vehicles. Subcategory: Hardware. Organization: Ministry of coal. Description: Many businesses rely on telemetry data from vehicles to gain insights into their fleets performance, driver behavior, and maintenance needs. However, in some scenarios, vehicles may not have a telemetry data port or the port may not be accessible due to limitations imposed by the vehicle manufacturer. The challenge is to develop a Telematic Control Unit TCU that can capture essential vehicle data without relying on the companyfitted telemetry data port. The TCU should provide a robust and reliable method of collecting data from various sensors and systems within the vehicle, ensuring realtime monitoring and analysis capabilities for fleet management purposes. The solution should address the following key aspects Data Capture Develop a TCU that can interface with the vehicles systems and sensors to capture vital data such as engine performance, payload, fuel consumption, speed, location, and diagnostic information. The TCU should be capable of extracting data accurately and reliably, regardless of the vehicles make or model. Wireless Connectivity Implement a wireless communication mechanism for transmitting the captured data from the TCU to a centralized server or cloud platform. The solution should support a secure and robust wireless protocol that ensures data integrity and confidentiality. Realtime Monitoring and Analysis Design a userfriendly dashboard or interface that allows fleet managers to monitor and analyze vehicle data in real time. The dashboard should provide insights into vehicle performance, payload, fuel efficiency, driver behavior, and maintenance needs, enabling businesses to make informed decisions and optimize their operations. Compatibility and Integration Ensure that the TCU solution can be easily integrated with existing fleet management systems or thirdparty applications commonly used in the industry. The solution should provide APIs or other integration capabilities to enable seamless data exchange and interoperability. Security and Privacy Implement strong security measures to protect the captured data from unauthorized access or tampering. The solution should adhere to industry best practices for data security and privacy, including encryption, authentication, and access control mechanisms. By addressing these aspects, the proposed TCU solution should enable businesses to capture and leverage vital vehicle data without relying on the companyfitted telemetry data port. This will empower fleet managers to optimize fleet performance, reduce maintenance costs, enhance fuel efficiency, and ensure compliance with regulatory requirements. It may also fetch data from a companyfitted telemetry port without opening the port in a noninvasive manner.
Title: Realtime visibility of Dumper load status to Shovel operator. Category: Smart Automation. Subcategory: Software. Organization: Ministry of coal. Description: Challenge Description In largescale mining, shovel operators are responsible for loading materials onto dumpers. However, the lack of realtime visibility regarding the load status of dumpers often leads to inefficiencies and delays in the overall workflow. Currently, shovel operators rely on manual communication or visual cues to determine whether a dumper is ready for loading or its loading has been completed. The challenge is to create a system that provides shovel operators with instant and accurate information about the load status of dumpers, eliminating the need for manual communication and improving the efficiency of the operation. The solution should leverage realtime data from sensors or other reliable sources to deliver timely updates to shovel operators, enabling them to make informed decisions and optimize their loading process. The solution should address the following key aspects Realtime Monitoring Develop a mechanism to continuously monitor the load status of dumpers in real time. This may involve integrating sensors, IoT devices, or any other suitable technology to collect and transmit data reliably. Visualization and Alerts Design an intuitive interface that displays the load status of each dumper to the shovel operator in real time. The interface should provide clear visual indicators and notifications to inform the operator about the readiness of each dumper for loading as well as inform the shove operator when the loading of the dumper is completed. Data Integration Create a system that seamlessly integrates with existing infrastructure, such as the shovel operators workstation or control panel. The solution should ensure smooth data transmission and compatibility with other systems or software used in the mining site. Scalability and Robustness Develop a solution that can handle a large number of dumpers simultaneously and is capable of operating reliably in challenging environments. Consider factors such as connectivity issues, data synchronization, and potential disruptions in the mining site. Security and Privacy Implement appropriate security measures to protect the system from unauthorized access and ensure the privacy of sensitive data. Consider encryption, authentication, and other relevant security practices to safeguard the system and maintain data integrity. By addressing these aspects, the proposed solution should enhance the productivity and efficiency of shovel operators, reduce downtime caused by miscommunication or delays, and ultimately optimize the loading process in mining operations.
Title: A system of IoT Devices to prevent underloading  overloading of Railway wagons.. Category: Transportation  Logistics. Subcategory: Hardware. Organization: Ministry of coal. Description: CIL has been supplying coal to its consumers by Rail through Railway Sidings. The railway wagons at such sidings are loaded through contractual means by payloader. The loading of wagons by contractual arrangement often results in overloading or underloading Railway wagons. The rules of Penal overloading and underloading are notified by Railway. Any penalty for overloading charged by the Railway for any consignment is payable by the purchaser. However, in case of underloading of wagons, credit for idle freight is adjusted in coal bills. Thus any idle freight for underloading is borne by CIL. During 202122, the expense for underloading was nearly Rs.593 Cr. whereas the contract for wagon loading itself was only Rs.276 Cr. Hence, a digital solution in the form of sensor IoT is needed to prevent the underloading and overloading of Railway wagons.
Title: Chatbot to respond to text queries pertaining to various Acts, Rules, and Regulations applicable to Mining industries. Category: Smart Automation. Subcategory: Software. Organization: Ministry of coal. Description: A Chatbot is a computer program that uses Artificial Intelligence AI and Natural Language Processing NLP to understand customer questions and automate responses to them, imitating human conversation. As of now, various Acts, Rules and Regulations, DGMS Circulars, CoI Proceedings, etc. are applicable to Mining industries. These are some of the Acts and Rules The Coal Mines Act, 1952 Indian Explosives Act, 1884 Colliery Control Order, 2000 Colliery Control Rules, 2004 The Coal Mines Regulations, 2017 The Payment of Wages Mines Rules, 1956 Additionally, landrelated laws i.e. CBA, LA, RandR related queries can also be incorporated to develop Robust Management Information System. Hence it is proposed to make a chatbot available 247 for stakeholders and customers which can answer all their queries regarding the rules, acts, and circulars.