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Aug 25 – 26, 2024

PRIMATHON

HYBRID

1.75,000/-

in Prizes

100+

Startups

5

Sponsors

3

Themes

What is 

 

 

The Primathon is going to be a 48-hr Hackathon with different themes revolving around the cutting-edge technology being used in today’s world and problem statements centered around it for Students, Researchers, & Startups to find innovative solutions, enhance their problem-solving skills, & generate new ideas.

Why

 

 

Students can win cash prizes, get the opportunity to get hired either for a Full-time Employment or an Internship, enhance their coding & problem-solving skills. Startups get the benefit of being Mentored by the best minds in case they want to set up their own startup. 

ABOUT US

Primus Techsystems is an IT company in Baner, Pune, India; it specializes in providing enterprise application services focused on SAP Business Suite S/4HANA, SAP BTP, SuccessFactors, C/4HANA etc., for Utility Industries.

PRIMUS is one of the leading partners in ERP services, data engineering, and data visualization technology domain and presently serving 100+ customers from India, the Middle East and Europe.

PROBLEM STAEMENTS

The challenge is to develop an integrated application that effectively tracks the entire lifecycle of IT projects, including manpower assignment, tracking, and transfers, while also managing resource utilization, invoicing, and profitability tracking.

 

The current disjointed systems or manual processes for project management and resource tracking result in inefficiencies, data discrepancies, and missed opportunities for optimizing resource allocation and project profitability. The objective is to create a comprehensive and user-friendly application that streamlines project management, resource utilization, and financial tracking, enhancing project success rates and overall profitability.

Problem Statement: Improving the Efficiency and Accuracy of the Production Part Approval Process (PPAP)

 


Develop an efficient and reliable system for automating the process of generating PPAP (Production Part Approval Process) documents in a manufacturing environment.

Background:
The PPAP is a standardized process used in the automotive industry to ensure that the components and processes involved in the production of a part meet the customer’s requirements. It involves documenting and demonstrating that the manufacturing process is capable of consistently producing parts that meet the specified quality standards.

Currently, the PPAP document generation process is mostly manual, which can be time-consuming, error-prone, and inefficient. It involves gathering data from various sources, such as quality control reports, test results, and production data, and compiling them into the required PPAP documents, including control plans, process flow diagrams, and measurement system analysis reports.

The manual process often leads to delays in submitting PPAP documents to customers, which can affect the overall production timeline. Moreover, the possibility of human error in data collection and document generation can compromise the accuracy and reliability of the PPAP submissions.

Therefore, there is a need for an automated system that can streamline the PPAP document generation process, reduce manual effort, ensure accuracy, and improve overall efficiency.

Requirements:
1. Data Integration: The system should be able to integrate with various data sources, such as quality control systems, test equipment, and production databases, to collect the necessary data for PPAP document generation.

2. Document Generation: The system should automatically generate the required PPAP documents based on the collected data. This includes creating control plans, process flow diagrams, measurement system analysis reports, and any other relevant documents specified by the PPAP requirements.

3. Data Validation: The system should validate the collected data for accuracy and completeness before generating the documents. It should identify any discrepancies or missing information and prompt users for necessary corrections or additions.

4. Customization and Flexibility: The system should allow customization of PPAP document templates to accommodate specific customer requirements or industry standards. It should also provide flexibility in adding or modifying document types based on evolving PPAP guidelines.

5. Collaboration and Approval Workflow: The system should facilitate collaboration among team members involved in the PPAP process. It should enable sharing and reviewing of generated documents, assigning tasks, and tracking progress. It should also support an approval workflow, where designated personnel can review and approve the generated documents before submission.

6. Data Security: The system should ensure the security and confidentiality of sensitive data used in the PPAP process. It should have appropriate access controls, encryption mechanisms, and data backup procedures to prevent unauthorized access or data loss.

7. Reporting and Analytics: The system should provide reporting and analytics capabilities to track and analyze the PPAP document generation process. It should generate metrics and insights, such as document submission time, approval cycle time, and any bottlenecks in the process, to identify areas for improvement.

8. Integration with Existing Systems: The system should be compatible with existing manufacturing systems, such as enterprise resource planning (ERP) and quality management systems (QMS), to leverage existing data and minimize data duplication.

Problem Statement: Company Properties Allotment Tracking Tool

The challenge is to develop an application that efficiently tracks the allotment and complete life cycle management of company-owned houses, flats, and vehicles to employees.

The current manual or fragmented system for managing these assets results in inefficiencies, lack of transparency, and potential errors, leading to misallocations, delays, and increased administrative burden. The objective is to create a centralized and user-friendly application that streamlines the entire process, from initial allocation to eventual handover or retirement, ensuring accurate records, optimized resource utilization, and enhanced employee satisfaction.

 

Key Challenges:

  1. Asset Allocation and Tracking: Developing a robust system that can effectively allocate company-owned houses, flats, and vehicles to employees based on predefined criteria, such as seniority, role, or need, and ensure real-time tracking of each asset’s status and usage.
  2. Life Cycle Management: Implementing a comprehensive life cycle management module that covers asset maintenance, repairs, upgrades, insurance, and eventual retirement or transfer to other employees, considering factors like tenure, relocation, and promotions.
  3. Data Accuracy and Integration: Ensuring data accuracy and consistency throughout the application by integrating with relevant systems, such as HR databases for employee information and financial systems for cost tracking.
  4. User Permissions and Access Control: Implementing role-based access control to safeguard sensitive asset data and ensure that only authorized personnel can perform allocation and maintenance actions.
  5. Notifications and Reminders: Incorporating automated notifications and reminders for upcoming maintenance tasks, lease renewals, or asset transfers to ensure proactive management and compliance.
  6. Reporting and Analytics: Designing a reporting and analytics module that provides insights into asset utilization, maintenance costs, turnover rates, and other key performance indicators to support data-driven decision-making.

Objectives:

  1. Efficient Asset Allocation: Develop an application that automates the asset allocation process, considering predefined criteria, employee preferences, and real-time availability to ensure fair and efficient allotment.
  2. Centralized Asset Repository: Create a centralized database for all company-owned houses, flats, and vehicles, providing a comprehensive view of asset details, usage history, and maintenance records.
  3. Life Cycle Management Automation: Implement a systematic life cycle management system that automates maintenance scheduling, tracks asset performance, and facilitates timely replacements or retirements.
  4. User-Friendly Interface: Design an intuitive and user-friendly interface for employees and administrators, simplifying the asset allocation and management process and reducing the learning curve.
  5. Real-time Tracking: Enable real-time tracking of asset status, availability, and usage, ensuring that employees and administrators have access to up-to-date information.
  6. Cost Optimization: Identify cost-saving opportunities by analyzing asset utilization, maintenance expenses, and turnover rates, enabling better resource allocation and decision-making.
  7. Regulatory Compliance: Ensure the application adheres to relevant laws, regulations, and company policies regarding asset management, data privacy, and reporting.

 

 

By successfully developing and implementing the asset tracking and life cycle management application, the company can streamline asset allocation processes, optimize resource utilization, reduce administrative overhead, and enhance overall asset management efficiency, leading to increased employee satisfaction and better financial control.

Problem Statement: SAP Project System with Analytics Tool

The challenge is to integrate SAP Project Systems (SAP PS) with an external tool or dashboard capable of performing predictive “what if” analysis for various project parameters, such as cost, resources, schedule, and other critical factors.

The current lack of such integration restricts the organization’s ability to proactively assess and simulate different scenarios, hindering effective project planning, risk mitigation, and decision-making processes. The objective is to establish a seamless connection between SAP PS and the predictive analysis tool to enable data-driven simulations and gain valuable insights for optimizing project outcomes.

 

Key Challenges:

1. Integration Complexity: Integrating SAP PS, a complex project management system, with an external predictive analysis tool requires careful consideration of data mapping, format compatibility, and security measures to ensure a smooth and secure data exchange.

2. Data Consistency and Accuracy: Ensuring the accuracy and consistency of data between SAP PS and the predictive analysis tool is crucial for generating reliable “what if” scenarios. Any discrepancies or errors in data transfer can lead to flawed predictions and decision-making.

3. Scenario Modeling: Developing a robust scenario modeling framework within the predictive analysis tool that accurately simulates project parameters, including cost, resources, schedule, and other critical variables, is essential for generating meaningful insights.

4. Real-time Data Updates: Establishing a bidirectional data flow to ensure that any changes or updates in SAP PS are immediately reflected in the predictive analysis tool to maintain the accuracy of the simulations.

5. User-Friendly Interface: Designing an intuitive and user-friendly interface for the predictive analysis tool to facilitate easy usage and understanding for project managers and stakeholders with varying levels of technical expertise.

6. Data Security and Privacy: Implementing robust security measures to safeguard sensitive project data during the integration process and while utilizing the predictive analysis tool.

 

Objectives:

  1. Seamless Integration: Develop a reliable and efficient integration framework that enables real-time data synchronization between SAP PS and the predictive analysis tool, ensuring consistent and up-to-date information.
  2. Predictive Scenario Modeling: Implement a sophisticated scenario modeling capability within the tool that allows project managers to simulate various “what if” scenarios related to project cost, resources, schedule, and other parameters.
  3. Data Accuracy and Reliability: Ensure that the integrated system maintains the accuracy and reliability of project data, providing trustworthy insights for decision-making.
  4. Real-time Insights: Enable project managers to access real-time predictive analysis, allowing them to identify potential risks, optimize resources, and make informed decisions promptly.
  5. User Training and Support: Provide comprehensive training and support to users for effectively utilizing the predictive analysis tool to perform scenario analysis and interpret the results.
  6. Compliance and Security: Adhere to data privacy regulations and implement robust security measures to protect sensitive project information throughout the integration and analysis process.

 

 

By successfully integrating SAP PS with a predictive analysis tool capable of “what if” scenario analysis, the organization will gain the ability to proactively plan, mitigate risks, and optimize project parameters, leading to improved project outcomes and overall operational efficiency.

Problem Statement: SAP Project System with scheduling tool

The problem at hand is to establish a seamless integration between SAP Project Systems (SAP PS) and any project scheduling tool within the organization.

The lack of integration between these two critical systems creates inefficiencies, data discrepancies, and impedes effective project planning and management. The goal is to enable a bidirectional flow of relevant project data, ensuring real-time updates, accurate information exchange, and streamlined project execution.

 

Key Challenges:

1.      Data Synchronization: The existing disconnect between SAP PS and the project scheduling tool leads to inconsistencies in project data, such as task assignments, timelines, resource allocation, and progress tracking. Integrating these systems should ensure synchronized and up-to-date data for all stakeholders.

2.      Project Planning Efficiency: Without a robust integration, project managers face difficulties in creating comprehensive and accurate project plans. The inability to transfer data seamlessly can lead to manual errors, delays, and hinder effective decision-making.

3.      Resource Management: Efficient allocation and tracking of resources are vital for project success. The lack of integration hampers resource visibility, making it challenging to optimize resource utilization and avoid potential bottlenecks.

4.      Real-time Project Monitoring: Timely and accurate project monitoring is essential to identify potential risks, track progress, and ensure projects are on schedule and within budget. The absence of integration inhibits real-time visibility into project updates and delays timely interventions.

5.      Reporting and Analytics: Disparate systems result in disjointed reporting and analytics. Integrating SAP PS with the project scheduling tool will enable consolidated and meaningful insights, empowering stakeholders with the necessary information to make informed decisions.

 

Objectives:

  1. Seamless Data Integration: Develop a robust integration framework that facilitates the exchange of data between SAP PS and the project scheduling tool without manual intervention, ensuring consistency and accuracy.
  2. Real-time Data Updates: Enable real-time data synchronization to keep project plans, timelines, task progress, resource assignments, and cost information up to date across both systems.
  3. Enhanced Project Planning: Empower project managers with an integrated environment that allows efficient project planning, task allocation, and resource management, leading to improved project success rates.

        4.   Streamlined Resource Management: Provide a centralized view of resources across projects, allowing resource managers to allocate and monitor resources effectively, thereby avoiding overutilization or underutilization.

       5.   Improved Reporting and Analytics: Create a unified reporting platform that consolidates data from SAP PS and the project scheduling tool, offering comprehensive insights into project performance and supporting data-driven decision-making.

       6.   User Training and Support: Implement comprehensive training programs and provide ongoing support to users to ensure a smooth transition to the integrated system and maximize its utilization.

 

 

Successful implementation of the SAP Project Systems integration with the project scheduling tool will enhance project management capabilities, optimize resource utilization, improve project outcomes, and ultimately contribute to the organization’s success.

Problem Statement: Smart Warehouse Optimization- Enhancing Efficiency and Reducing Operational Costs

In today’s rapidly evolving business landscape, traditional warehouses face challenges in meeting the demands of modern supply chains. The need for faster order processing, real-time inventory tracking, and seamless automation has become crucial for businesses to stay competitive. To address these challenges and capitalize on emerging technologies, the implementation of a Smart Warehouse system is essential.

The problem lies in the complexity of designing and deploying an efficient and cost-effective Smart Warehouse solution that maximizes productivity, minimizes errors, and optimizes resource utilization. Several key issues need to be addressed to achieve the desired level of efficiency:

 

Key Challenges:

1. Inventory Management: Traditional warehouses often struggle with accurate inventory tracking, leading to stockouts, overstocking, and inefficient order fulfillment. The Smart Warehouse system must ensure real-time monitoring and seamless integration with inventory management software to maintain optimal stock levels and facilitate just-in-time replenishment.

2. Warehouse Automation: Introducing automation to the warehouse floor can significantly enhance operational efficiency. However, integrating robots, autonomous vehicles, and automated picking systems requires careful planning to ensure smooth interaction between humans and machines, as well as effective utilization of resources.

3. Data Integration and Connectivity: A Smart Warehouse relies heavily on data from various sources, including IoT devices, RFID tags, and connected machinery. Ensuring seamless data integration and secure connectivity across the entire warehouse infrastructure is critical for real-time decision-making and process optimization.

4. Energy Efficiency: With the growing focus on sustainability, energy consumption in the warehouse becomes a significant concern. Implementing energy-efficient technologies and intelligent systems to control lighting, heating, and cooling can reduce operational costs and the overall carbon footprint.

5. Cybersecurity: As warehouses become more connected, they become vulnerable to cyber threats. Protecting the warehouse’s data, devices, and networks from potential breaches and attacks is paramount to maintain smooth operations and protect sensitive information.

6. Workforce Training: Introducing new technologies and automation requires the workforce to adapt and upskill. The Smart Warehouse system must include comprehensive training programs to ensure that employees can efficiently operate, maintain, and work alongside the advanced technologies.

Objectives:

 

The goal of this project is to develop and deploy a Smart Warehouse system that addresses the above challenges, optimizes warehouse operations, enhances productivity, reduces operational costs, and ultimately positions the organization at the forefront of the logistics industry. By integrating cutting-edge technologies, real-time data analytics, and robust security measures, the Smart Warehouse will enable the company to meet customer demands with greater agility and efficiency while ensuring a sustainable and competitive future.

THEMES

Computer Vision

Computer vision is a field of artificial intelligence that focuses on enabling computers to interpret and understand visual information from images or videos. Some of the problem statements: 1. Object Detection, 2. Image Classification, 3. Sematic Segmentation, 4. Pose Estimation.

Robotic Process Automation

RPA is the use of software robots or bots to automate repetitive and rule-based tasks within business processes. Problem statements: 1. Data Migration, 2. Compliance & Audit, 3. Data extraction & analysis, 4. IT Operation.

Augmented / Virtual Reality

Here are some problem statements commonly addressed in VR: 1. Virtual Prototyping and design, 2. Therapy and Rehabilitation, 3. Architectural Visualization, 4. Rehabilitation and Pain Management

Event Timeline

FAQs

Frequently Asked Questions:

A hackathon is an event where individuals come together to collaborate, brainstorm, and create innovative solutions to specific challenges within a set timeframe

Yes you need a team of min. 3 & max. 5 members.

Yes, you are expected to carry your own laptop

PRIMUS will own the IP created

You can register through our submissions portal and provide all the relevant details

You get mentorship and advisory services from some of the best minds to help guide you

Since the event is virtual, you are not required to come to the premise and code

Select a problem statement which best suits your area of knowledge & skill-set, develop a solution for it and submit it during the Idea Submission period. After evaluation if you are shortlisted, we’ll get in touch with you for the semi-finals.

RULES

To ensure a fair and productive environment for all participants, we have established the following rules for our hackathon event:

Theme and Challenges:

 

A specific theme or problem statement will be provided at the start of the hackathon. All projects must align with the given theme and challenges. Participants are encouraged to think creatively and propose innovative solutions

Code of Conduct:

Respect and courtesy towards fellow participants, organizers, and mentors are mandatory. Any form of harassment, discrimination, or offensive behavior will not be tolerated. Be inclusive, supportive, and collaborative in your interactions.

Intellectual Property:

All participants retain ownership of their intellectual property. If you plan to use any existing third-party libraries, frameworks, or code, please ensure compliance with the relevant licenses

Technology and Tools:

Participants are responsible for bringing their own laptops and any necessary software, tools, or development environments. Ensure that your tools and technologies comply with legal and ethical standards

Judging Criteria:

 

Projects will be evaluated based on criteria such as innovation, functionality, technical implementation, user experience, and presentation. Judges’ decisions will be final and binding

Presentations and Demos:

At the end of the hackathon, each team will be given a specific time slot to present and demonstrate their project. Prepare a concise and engaging presentation highlighting the key features and innovations of your solution

Safety and Security:

Follow all safety instructions provided by the organizers and venue staff. Take care of your personal belongings and valuables

These guidelines and rules are designed to foster a positive and productive environment during the hackathon. Failure to comply with these rules may result in disqualification or removal from the event

Prizes

  

        Prizes worth Rs 1,00,000/-

         Prizes worth Rs 50,000/-

            Prizes worth Rs 25,000/-

Sponsors

Timer

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