International Hackathon on Data Science and Applied Algebra

<h4 data-start="270" data-end="337">International Hackathon on Data Science and Applied Algebra</h4> <p data-start="338" data-end="478"><strong data-start="338" data-end="347">Date:</strong> May 16–18, 2026<br data-start="363" data-end="366" /><strong data-start="366" data-end="375">Mode:</strong> Online<br data-start="382" data-end="385" /><strong data-start="385" data-end="398">Convenor:</strong> Ms. Suguna B, Co-Founder & CBO, Mastering Up<br data-start="443" data-end="446" /><strong data-start="446" data-end="463">Organized by:</strong> Mastering Up</p> <hr data-start="480" data-end="483" /> <h5 data-start="485" data-end="516">🧠 1. About the Hackathon</h5> <p data-start="518" data-end="874">The <strong data-start="522" data-end="585">International Hackathon on Data Science and Applied Algebra</strong> aims to bridge mathematical theory with practical data-driven innovation. This global online hackathon offers a platform for data enthusiasts, mathematicians, computer scientists, and researchers to design impactful analytical solutions rooted in algebraic and computational principles.</p> <p data-start="876" data-end="1229">Participants will work collaboratively to solve real-world problems across diverse sectors such as finance, healthcare, education, environment, and technology — leveraging <strong data-start="1048" data-end="1106">data science, machine learning, and algebraic modeling</strong>. The event fosters creativity, problem-solving, and innovation at the intersection of mathematics and applied computing.</p> <hr data-start="1231" data-end="1234" /> <h5 data-start="1236" data-end="1275">💡 2. Problem Statements / Tracks</h5> <p data-start="1277" data-end="1407">Each track represents a real-life challenge that integrates <strong data-start="1337" data-end="1378">data analytics and algebraic modeling</strong> for high-impact solutions.</p> <h4 data-start="1409" data-end="1467"><strong data-start="1414" data-end="1465">1. Predictive Modeling for Healthcare Analytics</strong></h4> <p data-start="1468" data-end="1783"><strong data-start="1468" data-end="1480">Problem:</strong> Hospitals struggle to predict patient risks, treatment outcomes, and disease progression efficiently.<br data-start="1582" data-end="1585" /><strong data-start="1585" data-end="1607">Expected Solution:</strong> Develop a data-driven predictive model using algebraic regression or ML algorithms to forecast health outcomes, optimize resource allocation, and support clinical decisions.</p> <h4 data-start="1785" data-end="1844"><strong data-start="1790" data-end="1842">2. Financial Risk Assessment and Fraud Detection</strong></h4> <p data-start="1845" data-end="2142"><strong data-start="1845" data-end="1857">Problem:</strong> Detecting fraudulent transactions and assessing investment risks remain key challenges for banks and fintechs.<br data-start="1968" data-end="1971" /><strong data-start="1971" data-end="1993">Expected Solution:</strong> Create an algorithmic model based on data analytics and linear algebra techniques to identify fraud patterns and optimize credit risk predictions.</p> <h4 data-start="2144" data-end="2204"><strong data-start="2149" data-end="2202">3. Climate Change and Environmental Data Modeling</strong></h4> <p data-start="2205" data-end="2522"><strong data-start="2205" data-end="2217">Problem:</strong> Complex environmental datasets make it difficult to predict ecological patterns and climate impacts.<br data-start="2318" data-end="2321" /><strong data-start="2321" data-end="2343">Expected Solution:</strong> Design a data-driven algebraic model for analyzing environmental data — focusing on emissions, weather variability, or ecosystem changes — to support sustainable policy-making.</p> <h4 data-start="2524" data-end="2580"><strong data-start="2529" data-end="2578">4. Optimization in Supply Chain and Logistics</strong></h4> <p data-start="2581" data-end="2862"><strong data-start="2581" data-end="2593">Problem:</strong> Supply chains face inefficiencies in demand forecasting, routing, and inventory control.<br data-start="2682" data-end="2685" /><strong data-start="2685" data-end="2707">Expected Solution:</strong> Use matrix algebra and data science techniques to develop an optimization model that improves logistics flow, minimizes cost, and reduces delivery time.</p> <h4 data-start="2864" data-end="2923"><strong data-start="2869" data-end="2921">5. Algebraic Approaches to Neural Network Design</strong></h4> <p data-start="2924" data-end="3173"><strong data-start="2924" data-end="2936">Problem:</strong> Deep learning models lack interpretability and optimization in computation.<br data-start="3012" data-end="3015" /><strong data-start="3015" data-end="3037">Expected Solution:</strong> Build an algebraically optimized neural network architecture that improves computational efficiency, explainability, and performance.</p> <h4 data-start="3175" data-end="3239"><strong data-start="3180" data-end="3237">6. Educational Data Mining and Performance Prediction</strong></h4> <p data-start="3240" data-end="3526"><strong data-start="3240" data-end="3252">Problem:</strong> Institutions face challenges in tracking and predicting student performance trends.<br data-start="3336" data-end="3339" /><strong data-start="3339" data-end="3361">Expected Solution:</strong> Design a data analytics dashboard using linear models and clustering techniques to analyze learning behaviors, identify weak areas, and enhance academic planning.</p> <h4 data-start="3528" data-end="3582"><strong data-start="3533" data-end="3580">7. Algebraic Cryptography and Data Security</strong></h4> <p data-start="3583" data-end="3867"><strong data-start="3583" data-end="3595">Problem:</strong> Data security challenges are growing, and conventional encryption methods face performance bottlenecks.<br data-start="3699" data-end="3702" /><strong data-start="3702" data-end="3724">Expected Solution:</strong> Develop a cryptographic system using algebraic number theory or modular arithmetic principles to enhance data confidentiality and integrity.</p> <h4 data-start="3869" data-end="3911"><strong data-start="3874" data-end="3909">8. Smart City Data Optimization</strong></h4> <p data-start="3912" data-end="4188"><strong data-start="3912" data-end="3924">Problem:</strong> Urban planners need better insights to optimize energy, transport, and resource management.<br data-start="4016" data-end="4019" /><strong data-start="4019" data-end="4041">Expected Solution:</strong> Build a data science model integrating graph theory and algebraic optimization to enhance city planning, traffic control, and energy efficiency.</p> <h4 data-start="4190" data-end="4236"><strong data-start="4195" data-end="4234">9. Data-Driven Economic Forecasting</strong></h4> <p data-start="4237" data-end="4495"><strong data-start="4237" data-end="4249">Problem:</strong> Economic predictions often lack mathematical rigor and adaptability to dynamic data.<br data-start="4334" data-end="4337" /><strong data-start="4337" data-end="4359">Expected Solution:</strong> Create a predictive economic model using algebraic and statistical techniques to forecast GDP trends, inflation, or employment rates.</p> <h4 data-start="4497" data-end="4582"><strong data-start="4502" data-end="4580">10. Open Innovation Track – Student-Led Data Science or Algebraic Solution</strong></h4> <p data-start="4583" data-end="4871"><strong data-start="4583" data-end="4595">Problem:</strong> Open-ended — design your own project applying data science and algebra to a real-world problem.<br data-start="4691" data-end="4694" /><strong data-start="4694" data-end="4716">Expected Solution:</strong> Propose and develop an original, innovative, and socially relevant model or prototype showcasing creative use of applied mathematics and data analytics.</p> <hr data-start="4873" data-end="4876" /> <h5 data-start="4878" data-end="4917">🗓️ 3. Event Schedule (Three-Day)</h5> <div class="_tableContainer_1rjym_1"> <div class="group _tableWrapper_1rjym_13 flex w-fit flex-col-reverse"> <table class="w-fit min-w-(--thread-content-width)" data-start="4919" data-end="5423"> <thead data-start="4919" data-end="4954"> <tr data-start="4919" data-end="4954"> <th data-start="4919" data-end="4929" data-col-size="sm"><strong data-start="4921" data-end="4928">Day</strong></th> <th data-start="4929" data-end="4940" data-col-size="sm"><strong data-start="4931" data-end="4939">Date</strong></th> <th data-start="4940" data-end="4954" data-col-size="md"><strong data-start="4942" data-end="4952">Agenda</strong></th> </tr> </thead> <tbody data-start="4993" data-end="5423"> <tr data-start="4993" data-end="5152"> <td data-start="4993" data-end="5020" data-col-size="sm"><strong data-start="4995" data-end="5019">Day 1 – May 16, 2026</strong></td> <td data-start="5020" data-end="5054" data-col-size="sm">Orientation & Problem Selection</td> <td data-start="5054" data-end="5152" data-col-size="md">Inaugural Ceremony, Hackathon Briefing, Team Formation, Problem Allocation, Mentor Interaction</td> </tr> <tr data-start="5153" data-end="5284"> <td data-start="5153" data-end="5180" data-col-size="sm"><strong data-start="5155" data-end="5179">Day 2 – May 17, 2026</strong></td> <td data-start="5180" data-end="5202" data-col-size="sm">Coding & Mentorship</td> <td data-start="5202" data-end="5284" data-col-size="md">Prototype Development, Data Analysis, Expert Mentoring Sessions, Midway Review</td> </tr> <tr data-start="5285" data-end="5423"> <td data-start="5285" data-end="5312" data-col-size="sm"><strong data-start="5287" data-end="5311">Day 3 – May 18, 2026</strong></td> <td data-start="5312" data-end="5340" data-col-size="sm">Final Submission & Awards</td> <td data-start="5340" data-end="5423" data-col-size="md">Final Presentations, Jury Evaluation, Announcement of Winners, Closing Ceremony</td> </tr> </tbody> </table> </div> </div> <hr data-start="5425" data-end="5428" /> <h5 data-start="5430" data-end="5475">👥 4. Eligibility & Participation Rules</h5> <ul data-start="5477" data-end="5960"> <li data-start="5477" data-end="5570"> <p data-start="5479" data-end="5570"><strong data-start="5479" data-end="5495">Eligibility:</strong> Open to students, researchers, academicians, and professionals globally.</p> </li> <li data-start="5571" data-end="5602"> <p data-start="5573" data-end="5602"><strong data-start="5573" data-end="5587">Team Size:</strong> 2–4 members.</p> </li> <li data-start="5603" data-end="5647"> <p data-start="5605" data-end="5647"><strong data-start="5605" data-end="5628">Participation Mode:</strong> Online (Global).</p> </li> <li data-start="5648" data-end="5960"> <p data-start="5650" data-end="5672"><strong data-start="5650" data-end="5670">Code of Conduct:</strong></p> <ul data-start="5675" data-end="5960"> <li data-start="5675" data-end="5741"> <p data-start="5677" data-end="5741">Maintain originality and respect intellectual property rights.</p> </li> <li data-start="5744" data-end="5798"> <p data-start="5746" data-end="5798">Collaboration and fair competition are encouraged.</p> </li> <li data-start="5801" data-end="5871"> <p data-start="5803" data-end="5871">Use of open-source datasets and ethical AI practices is mandatory.</p> </li> <li data-start="5874" data-end="5960"> <p data-start="5876" data-end="5960">Misconduct, plagiarism, or use of restricted data will result in disqualification.</p> </li> </ul> </li> </ul> <hr data-start="5962" data-end="5965" /> <h5 data-start="5967" data-end="5998">🧮 5. Evaluation Criteria</h5> <ol data-start="6000" data-end="6445"> <li data-start="6000" data-end="6078"> <p data-start="6003" data-end="6078"><strong data-start="6003" data-end="6030">Innovation & Creativity</strong> – Originality and uniqueness of the solution.</p> </li> <li data-start="6079" data-end="6174"> <p data-start="6082" data-end="6174"><strong data-start="6082" data-end="6123">Practical Application / Social Impact</strong> – Real-world usefulness and measurable outcomes.</p> </li> <li data-start="6175" data-end="6266"> <p data-start="6178" data-end="6266"><strong data-start="6178" data-end="6206">Technical Implementation</strong> – Data handling, modeling accuracy, and algorithm design.</p> </li> <li data-start="6267" data-end="6347"> <p data-start="6270" data-end="6347"><strong data-start="6270" data-end="6299">Scalability & Feasibility</strong> – Expansion potential and ease of deployment.</p> </li> <li data-start="6348" data-end="6445"> <p data-start="6351" data-end="6445"><strong data-start="6351" data-end="6375">Presentation Quality</strong> – Clarity, structure, and overall impact of the final presentation.</p> </li> </ol> <hr data-start="6447" data-end="6450" /> <h5 data-start="6452" data-end="6484">🏆 6. Prizes & Recognition</h5> <ul data-start="6486" data-end="7212"> <li data-start="6486" data-end="6588"> <p data-start="6488" data-end="6588"><strong data-start="6488" data-end="6513">Top 10 Ideas/Winners:</strong> USD <strong data-start="6518" data-end="6565">1000 worth “Idea to Startup Scheme” Voucher</strong> by <strong data-start="6569" data-end="6585">SUKISH GROUP</strong>.</p> </li> <li data-start="6589" data-end="6851"> <p data-start="6591" data-end="6707"><strong data-start="6591" data-end="6607">Top 3 Ideas:</strong> Shared with reputed companies/research organizations for <strong data-start="6665" data-end="6704">seed funding and incubation support</strong>:</p> <ol data-start="6710" data-end="6851"> <li data-start="6710" data-end="6730"> <p data-start="6713" data-end="6730">Google DeepMind</p> </li> <li data-start="6733" data-end="6762"> <p data-start="6736" data-end="6762">IBM Research – Data & AI</p> </li> <li data-start="6765" data-end="6788"> <p data-start="6768" data-end="6788">NVIDIA AI Research</p> </li> <li data-start="6791" data-end="6809"> <p data-start="6794" data-end="6809">SAS Institute</p> </li> <li data-start="6812" data-end="6851"> <p data-start="6815" data-end="6851">Indian Statistical Institute (ISI)</p> </li> </ol> </li> <li data-start="6852" data-end="6904"> <p data-start="6854" data-end="6904"><strong data-start="6854" data-end="6887">Certificates of Participation</strong> for all teams.</p> </li> <li data-start="6905" data-end="6997"> <p data-start="6907" data-end="6997"><strong data-start="6907" data-end="6947">Special Category – Innovation Awards</strong> during <strong data-start="6955" data-end="6994">MU International Awards 2026 Series</strong>.</p> </li> <li data-start="6998" data-end="7112"> <p data-start="7000" data-end="7112"><strong data-start="7000" data-end="7024">Showcase Opportunity</strong> at the <strong data-start="7032" data-end="7109">MU International Conference on Data Science and Computational Mathematics</strong>.</p> </li> <li data-start="7113" data-end="7212"> <p data-start="7115" data-end="7212"><strong data-start="7115" data-end="7143">Publication Opportunity:</strong> Selected ideas will be <strong data-start="7167" data-end="7209">abstracted in MU International Journal</strong>.</p> </li> </ul> <hr data-start="7214" data-end="7217" /> <h5 data-start="7219" data-end="7243">📝 7. Registration</h5> <p data-start="7245" data-end="7378"><strong data-start="7245" data-end="7279">Indian Team (Up to 4 Members):</strong> ₹499<br data-start="7284" data-end="7287" /><strong data-start="7287" data-end="7317">Registration Link (India):</strong> <a class="decorated-link" href="https://rzp.io/rzp/4JM7ux4N" target="_new" rel="noopener" data-start="7318" data-end="7376">https://rzp.io/rzp/4JM7ux4N</a></p> <p data-start="7380" data-end="7572"><strong data-start="7380" data-end="7421">International Team (Up to 4 Members):</strong> USD 50<br data-start="7428" data-end="7431" /><strong data-start="7431" data-end="7469">Registration Link (International):</strong> <a class="decorated-link" href="https://www.paypal.com/ncp/payment/3ZZAY2H3ZDMBS" target="_new" rel="noopener" data-start="7470" data-end="7570">https://www.paypal.com/ncp/payment/3ZZAY2H3ZDMBS</a></p> <p data-start="7574" data-end="7622"><strong data-start="7574" data-end="7604">Deadline for Registration:</strong> <strong data-start="7605" data-end="7620">May 9, 2026</strong></p> <hr data-start="7624" data-end="7627" /> <h5 data-start="7629" data-end="7660">📩 8. Contact Information</h5> <p data-start="7662" data-end="7861"><strong data-start="7662" data-end="7672">Email:</strong> <a class="decorated-link cursor-pointer" rel="noopener" data-start="7673" data-end="7696">contact@masteringup.com</a><br data-start="7696" data-end="7699" /><strong data-start="7699" data-end="7711">Website:</strong> <a class="decorated-link" href="https://www.masteringup.com/events" target="_new" rel="noopener" data-start="7712" data-end="7776">www.masteringup.com/events</a><br data-start="7776" data-end="7779" /><strong data-start="7779" data-end="7796">Organized by:</strong> <strong data-start="7797" data-end="7859">Mastering Up – Empowering Education, Research & Innovation</strong></p>