CodeFusion 2026: National Innovation Challenge

CodeFusion 2026: CodeFusion 2026 is a virtual multi-round hackathon organized by the HackerRank Campus Crew at Marwadi University in collaboration with the Data Science Club. The event brings together developers, designers, innovators, AI enthusiasts, and problem-solvers from across the country to build intelligent real-world solutions using modern technologies and AI-assisted workflows. Built around the theme Fusion of Development and Intelligence, CodeFusion focuses on combining Web Development or Mobile Development with Artificial Intelligence, Machine Learning, and Data Science to solve carefully curated real-world challenges across domains like healthcare, sustainability, education, productivity, smart cities, business systems, and social impact. IMPORTANT NOTICE All participants registering for CodeFusion 2026 are requested to join the official WhatsApp group for further updates, announcements, and important information regarding the hackathon. Join the Group Here(Link): https://chat.whatsapp.com/JgDUrRCaBa8FyzZGMgHqop Eligibility: Open to all undergraduate and postgraduate students across India. Participants from any college, university, specialization, or academic background are eligible. Developers, designers, innovators, and beginners are all welcome. Participants must follow all hackathon rules and submission guidelines Team Formation: Teams can consist of 1–4 members Inter-college teams are allowed Inter-specialization and interdisciplinary teams are allowed Each participant can register in only one team Hackathon Theme: Fusion of Development & Intelligence Participants must build solutions that integrate Web Development OR Mobile Development WITH AI/ML, NLP, Computer Vision, Predictive Analytics, Recommendation Systems, Automation, or Data Science. Projects without meaningful AI/Data integration will not be considered for evaluation. Main Problem Tracks: Healthcare: VitalScan – The Proactive Health Monitor Individuals with chronic conditions or elderly populations often miss subtle health changes until a crisis hits. Manual logging is inconsistent and unreliable. Build an app that integrates with wearable devices to passively collect health data, detects deviations from personal baselines, and sends proactive alerts to users and caregivers. A dashboard should give family members and healthcare providers a broader health overview. Key Focus Areas: Wearable Device Integration | Anomaly Detection in Vital Signs | Caregiver Notifications | Predictive Health Risk Assessment MediSync – The Invisible Health Ledger Patients visiting multiple hospitals, pharmacies, and labs carry fragmented records. Critical allergies, past prescriptions, and test results get lost, leading to dangerous drug interactions and repeated testing. Build a secure platform that unifies health records into a patient-controlled timeline, parses unstructured clinical documents into structured data, flags drug conflicts, and lets patients selectively share records with clinicians. Key Focus Areas: Medical Record Aggregation | Clinical Document Parsing | Drug Conflict Detection | Patient-Controlled Data Access Education & Productivity: SkillBridge – The Adaptive Career Navigator Skills go outdated fast, but most career platforms only show static job listings with no personalised guidance. Build a platform where users input their skills and career goals to receive a personalised learning roadmap based on real-time job market analysis. The system should identify skill gaps and recommend courses, certifications, or projects that bridge them. Mentor matching is a bonus. Key Focus Areas: Skill Gap Analysis | Job Market Intelligence | Personalised Learning Pathways | Mentor Matching CogniPath – The Misconception Mapper Learning platforms treat wrong answers as failures, not diagnostic signals. A student who keeps getting algebra wrong might have a sign error or a fundamental gap – the system never knows. Build an interactive tutoring platform that captures keystrokes, drawings, and time-per-step during problem-solving, classifies the specific misconception in real time, and generates targeted micro-lessons adapted to that student's exact gap. Key Focus Areas: Behavioural Interaction Capture | Misconception Classification | Adaptive Learning Content | Real-time Cognitive Gap Analysis MeetMind – The Meeting ROI Optimiser Organisations bleed thousands of hours in pointless meetings with no agenda, no ownership, and no follow-through. No one knows what these meetings actually cost or which ones shouldn't exist. Build a dashboard that integrates with calendar and communication tools to analyse meeting patterns, calculate their true cost, identify recurring themes, and flag meetings that could simply be an email. Key Focus Areas: Meeting Analytics | Cost & ROI Estimation | Async vs Sync Decision Support | Organisational Productivity Sustainability & Environment: HarvestIQ – The Crop Yield Risk Forecaster Smallholder farmers make critical planting and irrigation decisions based on gut feeling or outdated almanacs, with no access to satellite data or micro-climate forecasts. One bad season can mean debt. Build a low-bandwidth tool (with SMS fallback) that fuses satellite and weather data to deliver weekly crop risk scores – drought, pest, flood – along with irrigation schedules and advisory messages in the farmer's local language. Key Focus Areas: Agricultural Risk Assessment | Satellite & Remote Sensing Data | Multilingual Advisory Output | Low-Bandwidth Accessibility WasteLens – The Circular Economy Scout Recycling facilities struggle to identify and price mixed waste accurately. Contaminated batches ruin entire loads, and misclassification sends recoverable materials straight to landfill. Build a mobile-first app where workers photograph waste to instantly receive material classification, contamination levels, purity estimates, and predicted resale value cross-referenced with live commodity markets. Key Focus Areas: Computer Vision for Material Classification | Contamination Detection | Purity Estimation | Live Market Data Integration EcoRoute – The Sustainable Logistics Optimizer Delivery businesses – especially SMEs – have no tools to factor environmental impact into route planning. Current solutions optimise for speed or cost only. Build a route planning tool that calculates optimal delivery routes considering traffic, vehicle emissions, road gradients, and real-time air quality, with a dashboard that tracks the organisation's cumulative environmental footprint. Key Focus Areas: Green Route Optimisation | Emissions Modeling | Traffic & Environmental Data Fusion | Logistics Impact Visualisation Smart Cities & Social Impact: UrbanSense – The Community Safety Predictor City planners react to safety incidents instead of preventing them. Safety data – incident reports, social sentiment, sensor feeds – sits in silos with no predictive layer on top. Build a platform that fuses diverse urban data sources to predict safety hotspots before incidents occur, with a city official dashboard for proactive resource deployment and a mobile interface for resident awareness. Key Focus Areas: Urban Data Fusion | Geospatial Risk Prediction | Social Sentiment Analysis | Proactive Resource Allocation PermitFlow – The Construction Compliance Autopilot Contractors lose months in paper-heavy municipal permit workflows. Zoning rules, safety codes, and clearances are scattered across siloed portals, and one missing document restarts the entire process. Build a platform where contractors upload blueprints and site details to receive an automated compliance gap report, auto-filled government forms, and a live permit status tracker. Key Focus Areas: Regulatory Knowledge Management | Document Understanding | Compliance Gap Detection | Process Automation PulseGrid – The Predictive Public Transit Balancer City buses follow fixed schedules regardless of real demand – overcrowded during events, near-empty on quiet corridors. Transit agencies have no way to rebalance before problems cascade. Build an operations dashboard paired with a commuter app that forecasts demand at the route/stop level 30–60 minutes ahead and recommends real-time fleet reallocation with proactive passenger notifications. Key Focus Areas: Demand Forecasting | Fleet Reallocation Optimisation | Multimodal Data Fusion | Passenger Communication GriefBridge – The Bereavement Support Navigator People grieving job loss, divorce, or the death of a loved one face scattered support options, long therapy waitlists, and the stigma of asking for help. No unified tool exists to guide them. Build a digital companion where users log emotions via text or voice. The system tracks emotional patterns over time, surfaces verified local support resources on a map, and checks in proactively when sentiment deteriorates. Key Focus Areas: Mental Health & Grief Support | Geospatial Resource Mapping | Emotion Trend Detection | Community Integration VeritasFlow – The Information Diet Coach Doom-scrolling and filter bubbles are quietly eroding mental well-being and informed thinking, yet no tool helps people audit what they actually consume online. Build a browser extension or mobile wrapper that passively tracks content consumption with user consent, generates a personal information diet report, detects filter bubbles, and recommends high-quality counter-perspective content. Key Focus Areas: Content Consumption Analytics | Sentiment & Topic Analysis | Filter Bubble Detection | Perspective Diversification Business & Financial Systems: CreditLens – The SME Loan Readiness Coach Most SMEs in emerging markets get rejected for loans not because they're unprofitable, but because they lack formal financial documentation. They get no explanation and no path forward. Build a platform where business owners upload informal records – receipts, invoices, UPI histories, handwritten ledgers – and receive a creditworthiness score, a breakdown of their top weaknesses, and a personalised action plan to improve loan-readiness. Key Focus Areas: Document Parsing & Structuring | Creditworthiness Assessment | Explainable Scoring | SME Financial Literacy Geopolitics & National Strategy: Global Ontology Engine – Unified Intelligence Graph for Strategic Decision-Making Governments and policy teams make high-stakes decisions using fragmented, siloed data – news feeds, academic papers, satellite imagery, economic signals, and social discourse – none of it connected. There is no system that continuously integrates and interprets this information into a coherent, evolving intelligence picture. Build a unified intelligence graph that ingests structured and unstructured data across geopolitics, economics, defence, climate, and technology – enabling decision-makers to query entity relationships, surface non-obvious connections, and generate strategic insights. Build with India's strategic context in mind while keeping it globally applicable. Key Focus Areas: Multi-domain Data Integration | Knowledge Graph Construction | Real-time Intelligence Synthesis | Strategic Decision Support | Geopolitical & Economic Signal Processing Open Innovation Track: Don't see your idea in the official problem statements? Build your own. Participants in this track can define their own problem and build their own solution. There are no restrictions on domain – healthcare, education, sustainability, finance, social impact, or anything else – as long as the solution creates real, meaningful impact on society and integrates Web or Mobile Development with AI/ML or Data Science at its core. Solutions without genuine societal impact or without meaningful AI/ML integration will not be considered for evaluation, regardless of technical execution or creativity. Key Focus Areas: Real-world Problem Identification | Societal Impact | AI/ML as Core Functionality | Development + Intelligence Fusion Want to explore the official problem statements in depth? Access the full Problem Statement Compendium here: https://docs.google.com/document/d/1YpnJ0Z4yBYdGm0YRKwXpKG47AY0b0Xps/edit?usp=sharing&ouid=113219706186041834518&rtpof=true&sd=true Development Rules: Teams may use any programming language, framework, or technology stack Open-source tools and publicly available APIs are allowed AI-assisted development workflows are encouraged Every project must integrate Web/Mobile Development AND AI/ML or Data Science Projects must align with the selected official problem statement Teams are encouraged to focus on originality, scalability, innovation, and real-world practicality Hackathon Rounds Round 1 – PPT & Idea Screening: Teams submit a PPT presentation. PPT submission window: 30 May – 1 June 2026. Shortlisting based on innovation, feasibility, technical fusion, problem relevance, and presentation clarity. PPT must include: Team Introduction, Problem Statement, Proposed Solution, Technology Stack, Implementation Strategy, and Expected Impact. Round 2 – Virtual Presentation & Evaluation: Shortlisted teams present their ideas virtually before judges. Includes a 5–7 minute presentation, technical discussion, and live Q&A session. Evaluation based on technical understanding, scalability, presentation quality, innovation, and Q&A performance Round 3 – Implementation & Submission: Teams must submit a GitHub Repository, Demo Video (3–5 minutes), and, optionally, a live deployment link and documentation. Projects evaluated on technical implementation, innovation, real-world impact, UI/UX & functionality, and presentation quality. Judges may ask technical and product-related questions during the final evaluation Round 4 – Idea Presentation Shortlisted teams will present their project ideas through Google Meet. Teams must explain their problem statement, proposed solution, technology stack, and the innovation behind their idea. Judges may ask questions related to the project concept and implementation approach. Evaluation will be based on innovation, technical approach, presentation quality, and real-world impact. Rewards & Recognition: Verified Certificates for all Participants Winner & Runner-up Recognition || Choice-Based Rewards for Winners: HackerRank Infinity Plan OR Access to 1500+ AI Tools (Subject to official availability and support) Rules: Participants must maintain professional and respectful behaviour throughout the event Any plagiarism, cheating, or misconduct will lead to immediate disqualification Projects must be original and developed during the hackathon duration only Pre-built templates, open-source libraries, and frameworks are allowed, but complete pre-developed solutions are prohibited Teams must clearly disclose all APIs, AI models, libraries, and external tools used Submissions after deadlines may not be considered for evaluation Disqualification Criteria: Teams may be disqualified for: Copied projects, Fake or non-functional submissions, Missing submission deadlines, Violation of hackathon rules, Harmful or unethical implementations. Organized by: HackerRank Campus Crew, Marwadi University In Collaboration With Data Science Club General Policy: All decisions made by the judging panel are final and binding. No appeals, disputes, or requests for re-evaluation will be entertained once a decision has been announced. The organizing team reserves the right to modify event schedules, rules, or evaluation criteria at any point, with updates communicated to registered participants. Any attempt to influence judging outcomes will result in immediate disqualification.