Success Story: Hackathon 1.0
Hackathon 1.0 was conceived as a platform to foster innovation and help students hone practical problem-solving skills, data analytics skills, artificial intelligence knowledge and creative thinking.
In keeping with the theme "You, Us, and Analytics," this event was organized by the Avenir Analytics Club at IES's Management College and Research Centre. The goal was to sync academic knowledge and practical applications.
Hackathon 1.0 was a great success, drawing participants from all over India. The event attracted many entries from prominent Indian institutions, fostering a competitive and diverse environment. Participants used their analytical abilities in a marathon of problem-solving. The turnout demonstrated the event's importance in shaping future data scientists and analysts.
Encouraged by the success of Hackathon 1.0, we are thrilled to present Hackathon 2.0.
Hackathon 2.0 will give students even more competitions to showcase their skills in an encouraging environment.
We invite students to take part in this enriching experience. Let us push the boundaries together to achieve all that we can achieve. Hope to see you at the Finale on 15th February 2025.
Read more about - Hackathon 1.0- Accounting and Finance
- Economics and Public Policy
- Business Policy and Strategic Management
- Communication in Business and Research
- Data Science and Analytics
- Digital Marketing
- Entrepreneurship
- Geopolitical Risks and Organization
- Human Resource Management
- Information Systems in Management
- Marketing Management
- Operations Management
- Organizational Behavior
- Talent Management in Learning Organizations
Hackathon 2.0: "Unleashing innovative Ideas Through Tech and Data"
Hackathon 2.0, launched in December 2024, witnessed an overwhelming response with 486 registrations from students and professionals across the country. The event attracted participants from premier institutions such as IIT Kanpur, IIT Hyderabad, IIT Tirupati, BITS Pilani (Goa), Symbiosis Pune, and several other reputed organizations—making it a truly national-level innovation platform.
Out of the total registrations, 100 teams submitted entries in Round 1, demonstrating their creative problem-solving skills across six dynamic challenge tracks. Following rigorous evaluations, 17 high-performing teams advanced to Round 2, where competition intensified and ideas evolved.
The Grand Finale, held on February 22, 2025, at the IESMCRC campus, brought together the top three teams from each challenge. The final round featured the highly engaging Market Intelligence Challenge, pushing teams to apply their strategic thinking and data-driven insights under pressure.
To recognise the best minds, attractive cash prizes were awarded:
Winner: ₹15,000
First Runner-Up: ₹12,000
Second Runner-Up: ₹9,000
Top Performer in Each Round 1 Challenge: ₹3,000
Hackathon 2.0 not only offered a competitive yet collaborative environment but also provided all participants with a platform to gain visibility, refine their data and analytical skills , and showcase their true potential. The event reinforced IESMCRC’s vision of empowering the next generation of business and tech innovators.
Read more about - Hackathon 2.0- Accounting and Finance
- Economics and Public Policy
- Business Policy and Strategic Management
- Communication in Business and Research
- Data Science and Analytics
- Digital Marketing
- Entrepreneurship
- Geopolitical Risks and Organization
- Human Resource Management
- Information Systems in Management
- Marketing Management
- Operations Management
- Organizational Behavior
- Talent Management in Learning Organizations
Hackathon 3.0 – Grand Success
IESMCRC, Business Analytics Department successfully concluded Hackathon 3.0 on October 10, 2025, with the Integrated Finale Challenge submissions, followed by insightful presentations across three parallel tracks and the announcement of winners with cash prizes.
Building on the success of Hackathon 1.0 and 2.0, this edition received an overwhelming response of 1100+ registrations from B-Schools across India, including IIMs, IITs, IIITs, BITS and many more.
From 98 team submissions across nine challenges , 30 finalist teams were invited and all the proud finalists showcased outstanding innovation, analytical thinking, and teamwork in the Grand Finale.
A big thank you to our mentors, all participants , and judges for making Hackathon 3.0 an inspiring celebration of talent, creativity, and data-driven innovation.

- Accounting and Finance
- Economics and Public Policy
- Business Policy and Strategic Management
- Communication in Business and Research
- Data Science and Analytics
- Digital Marketing
- Entrepreneurship
- Geopolitical Risks and Organization
- Human Resource Management
- Information Systems in Management
- Marketing Management
- Operations Management
- Organizational Behavior
- Talent Management in Learning Organizations
Read more about - Hackathon 3.0Welcome to Hackathon 4.0 – “Building Intelligent Solutions for Smarter Businesses with AI”
Get ready to step into the future of innovation with Hackathon 4.0, where creativity meets Artificial Intelligence to solve real-world business challenges. This dynamic innovation sprint brings together aspiring entrepreneurs, technology enthusiasts, business strategists, and problem-solvers to design AI-powered solutions for smarter businesses.From AI-driven marketing and people solutions to FinTech, intelligent business operations, and startup innovation, participants will explore diverse challenge tracks and transform ideas into impactful solutions. Whether you are a future manager, developer, data enthusiast, entrepreneur, or creative thinker, Hackathon 4.0 gives you the platform to innovate, collaborate, experiment, and create meaningful business impact with AI.
Choose your challenge, build your solution, and turn your ideas into reality. Think Intelligent. Build Innovative. Solve with AI.
- Accounting and Finance
- Economics and Public Policy
- Business Policy and Strategic Management
- Communication in Business and Research
- Data Science and Analytics
- Digital Marketing
- Entrepreneurship
- Geopolitical Risks and Organization
- Human Resource Management
- Information Systems in Management
- Marketing Management
- Operations Management
- Organizational Behavior
- Talent Management in Learning Organizations
Hackathon Challenges
1. MarketMind AI – AI for Smarter Marketing
Challenge: Reimagine marketing with intelligence.
Teams need to develop an AI-powered marketing solution that helps businesses understand customers, improve campaigns, personalize communication, or make better marketing decisions.
What to do:
- Identify a real marketing problem.
- Use AI/data to understand customer behaviour.
- Build a solution such as an AI recommendation engine, campaign optimizer, customer segmentation model, chatbot, or personalization tool.
- Show how the solution can improve marketing outcomes.
Example: AI system that predicts which customers are most likely to respond to a campaign and recommends the right offer.
2. PeoplePlus AI – AI for People & Talent
Challenge: Create AI-powered solutions for smarter people management.
Teams should address challenges related to employees, recruitment, talent development, engagement, retention, or workforce productivity using AI.
What to do:
- Identify an HR/people-related problem.
- Design an AI-based solution.
- Use data to generate insights or predictions.
- Demonstrate how it can help organizations make better people decisions.
Example: AI-based employee attrition prediction system that identifies employees at risk of leaving and suggests retention actions.
3. FinTech AI – AI for Smarter Financial Decisions
Challenge: Use AI to make financial decisions smarter, faster, and more effective.
Teams need to develop an AI-driven financial solution addressing areas such as investment, lending, fraud detection, personal finance, credit assessment, or financial risk.
What to do:
- Identify a financial problem.
- Use AI/ML and data to analyse or predict outcomes.
- Develop a working model/prototype.
- Explain how the solution improves financial decision-making.
Example: AI-based credit risk model that helps a financial institution assess the probability of loan default.
4. OpsGenie AI – AI for Intelligent Business Operations
Challenge: Make business operations smarter using AI.
Teams should identify an operational problem and build an AI solution that improves efficiency, forecasting, resource utilization, supply chains, inventory, customer service, or business processes.
What to do:
- Identify an inefficient business process.
- Analyse the available operational data.
- Build an AI/analytics-based solution.
- Demonstrate measurable improvement in cost, time, productivity, or efficiency.
Example: AI demand forecasting system that predicts product demand and helps reduce excess inventory and stock-outs.
5. StartupSpark AI – Build, Scale & Disrupt with AI
Challenge: Create an innovative AI-powered startup idea with strong business potential.
Teams have the freedom to identify a real-world problem and develop an AI-based product/service that can become a scalable business.
What to do:
- Identify a significant market problem.
- Develop an AI-powered product/service.
- Define your target customers and value proposition.
- Create a prototype/MVP.
- Explain the revenue model, scalability, and competitive advantage.
Example: An AI platform that helps small retailers predict demand, optimize pricing, and automatically generate personalized promotions
Submission Requirements
A) Hackathon Solution Report
Format: PDF
Length: 8–12 pages
Naming format: TeamName_ChallengeName_Hackathon4.0.pdf
Recommended Report Structure
1.Cover Page: Team name, challenge name, members, programme/class
2. Problem Statement: What business problem are you solving?
3. Problem Understanding: Background, target users, pain points and business impact
4. Proposed Solution: Explain your AI-enabled solution clearly
5. Innovation & Uniqueness: Why is your solution different or better?
6. Solution Architecture: Workflow, process diagram, technology stack
7. AI/Technology Used: AI tools, models, platforms, datasets, APIs, etc.
8. Prototype / Model: Screenshots, demo, model output or working prototype
9. Business Impact: Expected benefits: cost reduction, revenue, efficiency, customer experience, etc.
10. Feasibility: Implementation requirements, challenges and scalability
11. Future Scope: How the solution can be improved or expanded
12. Conclusion: Key value proposition of the solution
B) Mandatory Submission Package
Teams can submit:
Solution Report – PDF
Presentation – Maximum 10 slides
Prototype/Demo Link – Google Drive, GitHub, Streamlit, Figma, etc.
2–3 minute Demo Video (optional but recommended).
Important Timelines
These are the four key dates participants need to remember:
What Participants Need to Do
Challenge Selection & Registration
Select one challenge track and complete team registration. Detailed challengeinformation will then be shared with registered teams.
Model Development & Submission
Develop the AI solution/model and submit the Google Drive link containing therequired deliverables.
Evaluation of submissions and announcement/selection of the winning finalist teams. GrandFinale invitations will be sent to selected teams.
Finalist teams present their solutions and tackle the industry problem/challengeat IES MCRC.
Prizes
🥇 1st Position — ₹20,000
🥈 2nd Position — ₹18,000
🥉 3rd Position — ₹15,000
🎁Top 1 Finalist of Each Team — ₹3,000
Total Prize Pool
₹53,000 + ₹3,000 for the top finalist of each team
The ₹3,000 finalist reward is an additional recognition for the top finalist from each team.
General Guidelines for All Participants
- Eligibility
- Open to undergraduate and postgraduate students.
- Individual or team participation is allowed, with up to 3 members per team.
- Participants must complete registration before participating in any challenge.
- Registration
- Registration is mandatory for participation.
- Provide accurate participant and team details during registration.
- Select one challenge track while registering.
- Register using the official Event Registration Link.
- Challenge Selection
- Participants must select one of the prescribed challenge tracks.
- Teams should clearly understand the problem statement and objectives before developing their solution.
- Solutions must address the selected challenge and demonstrate meaningful use of AI, data, technology, or innovation.
- Submission Format
- Submissions must follow the format and requirements specified for the respective challenge.
- Depending on the challenge, submissions may include a prototype/model, presentation, report, dashboard, code, or supporting documentation.
- Ensure that all required files and links are submitted.
- All files should be properly named and organized for easy evaluation.
- Submission Deadline
- All submissions must be completed within the announced deadline.
- Late submissions may not be considered.
- Teams are advised to submit well before the deadline to avoid technical issues.
- Originality & Ethical Use
- All submissions must represent the original work of the participating team.
- Plagiarism, copied projects, or substantially pre-existing solutions may lead to disqualification.
- Participants may use AI tools, but they must demonstrate their own understanding, contribution, and innovation.
- Any data used should be obtained and handled ethically and responsibly.
- Use of Technology & AI Tools
- Participants are encouraged to use relevant AI tools, analytics platforms, programming languages, APIs, no-code/low-code tools, and other technologies.
- The choice of technology should support the solution rather than simply add technology for its own sake.
- Participants are responsible for ensuring that their tools and resources comply with applicable terms and event guidelines.
- Evaluation Criteria
Submissions may be evaluated on:
- Problem Understanding & Relevance
- Innovation & Creativity
- Effective Use of AI/Data
- Functionality & Usability
- Business/Social Impact
- Technical Quality
- Feasibility & Scalability
- Presentation & Communication
- Judging Process
- All eligible submissions will be evaluated by a panel of judges/industry experts.
- Judges' decisions will be considered final.
- Shortlisted teams may be required to demonstrate their solution or present their idea before the judges.
- Winners and finalists will be announced as per the event schedule.
- Team Responsibility
- Each team is responsible for coordinating its members and completing the submission on time.
- Only registered team members may participate as part of the team.
- Teams should be prepared to explain their problem, approach, technology, results, and impact during evaluation.
- Grand Finale
- Shortlisted finalists will be invited to the Grand Finale.
- Finalists may be required to work on an industry-oriented problem statement and present their solution to the judging panel.
- Participants should be prepared for a combination of problem-solving, rapid ideation, technology application, and final presentation.
- Code of Conduct
- Participants are expected to maintain professional, respectful, and ethical conduct throughout the hackathon.
- Any form of misconduct, cheating, impersonation, or unfair practice may result in disqualification.
Most Important Rule
Understand the problem → Think creatively → Use AI intelligently → Build a meaningful solution → Demonstrate impact → Present with confidence.
Download GuidelinesConnect With Us
Patron of the Conference
Dr. Sapna Modi
Conference Convener
Dr. Mrunal Joshi 9833715848
Conference Co-convener
Dr. Ritu Sinha 9820963586
Dr. Maithili Dhuri 9833646145
Core Committee
Monisha P. – 88503 17818
Aishwarya S. – 86920 0018
Bhavana S. – 82082 67765
Dipraj G. – 82759 04515
Vishal B. – 90041 79960
Nitya G. – 72084 64645
Dr. Ritu Sinha
Dr. Devaki Nadkarni
Prof. Ritika Vohra
Prof. Nicole D’silva
Email ID - hackathon.analytics2024@ies.edu
Website: https://www.mcrc.ies.edu/hackathon
Venue: IESMCRC Campus
791, S.K. Marg, HIG Colony, Nityanand Nagar, ONGC Colony,
Bandra West, Mumbai, Maharashtra – 400050
Hackathon Brochure
Download BrochureConference Convener
Dr. Mrunal Joshi 9833715848
Conference Co-convener
Dr. Ritu Sinha 9820963586
Dr. Maithili Dhuri 9833646145