TechForge 2025 Hackathon Challenge

Forge the Future: Innovate, Create, Transform through Technology

WELCOME TO TECH FORGE!

  • A platform for innovative solutions to real-world problems
  • Opportunity to showcase your technical skills and creativity
  • Collaborate, learn, and build impressive projects
  • Potential to create impactful solutions with industry applications

Problem Statements

Track 1: AI-Driven Fake News Detection

Challenge Background:

  • Misinformation spreads 6x faster than factual information
  • Current detection methods often lag behind viral spread
  • Source attribution remains difficult

Expected Deliverables:

  • NLP model to detect fake news with >85% accuracy
  • Network analysis algorithm to trace propagation patterns
  • Real-time monitoring dashboard prototype
  • Source attribution mechanism

Track 2: AI-based Adaptive Learning Platform

Challenge Background:

  • Rural areas face significant educational disparities
  • One-size-fits-all approaches fail to address diverse learning needs
  • Limited technology access requires innovative solutions

Expected Deliverables:

  • ML model that adapts to student learning patterns
  • Emotion recognition system for engagement monitoring
  • Offline-capable learning modules
  • Data analytics dashboard for teachers

Track 3: AI in EV Two-Wheeler

Challenge Background:

  • EV adoption faces range anxiety and performance concerns
  • Battery management remains a critical challenge
  • Rider experience needs enhancement

Expected Deliverables:

  • AI-powered battery optimization system
  • Smart route planning for energy efficiency
  • Predictive maintenance solution
  • Intelligent rider assistance features

Track 4: EV Two-Wheeler Rapid Production

Challenge Background:

  • Traditional manufacturing processes create bottlenecks
  • Supply chain inefficiencies delay production
  • Quality control remains labor-intensive

Expected Deliverables:

  • Production optimization algorithm
  • Supply chain management solution
  • Automated quality inspection system
  • Digital twin framework for production simulation

Track 5: New Innovation in EV Two-Wheeler

Challenge Background:

  • Market differentiation requires novel approaches
  • Consumer adoption needs compelling new features
  • Sustainability concerns demand creative solutions

Expected Deliverables:

  • Novel feature prototype or concept
  • Technical feasibility documentation
  • Market differentiation analysis
  • Implementation roadmap

Technical Requirements

AI-Driven Fake News Detection

  • Machine learning/NLP implementation
  • Graph-based network analysis
  • Data visualization components
  • API integration capabilities

Adaptive Learning Platform

  • Machine learning for personalization
  • Computer vision for emotion detection (optional)
  • Efficient data storage for offline functionality
  • User-friendly interface for rural contexts

AI in EV Two-Wheeler

  • Machine learning for performance optimization
  • IoT integration for real-time data collection
  • Mobile application interface
  • Edge computing capabilities

Open Innovation Track

Have your own idea?

Participants can propose their own projects that:

  • Must address a significant problem with tech innovation
  • Should incorporate AI, ML, or other advanced technologies
  • Required to submit a brief proposal for approval