Revolutionizing Customer Service with Intelligent Agents

Welcome to the Proptelligence AI Agents Hackathon, an exciting event designed to foster innovation in customer support through the power of artificial intelligence. In an era where customer experience is paramount, intelligent AI agents can revolutionize how businesses interact with their users, offering instant, personalized, and efficient solutions. This hackathon brings together developers, designers, data scientists, and problem-solvers to create cutting-edge AI-driven solutions that enhance customer satisfaction and streamline support operations.

Theme: Building the Next Generation of Customer Support AI Agents

Objective: To design, develop, and prototype AI-powered solutions that address key challenges in customer support, improve efficiency, and enhance the overall customer experience.

Why Participate?

• Innovate: Be at the forefront of AI innovation in customer service.
• Learn & Grow: Enhance your skills in AI, machine learning, natural language processing, and agent development.
• Network: Connect with industry experts, mentors, and like-minded individuals.
• Impact: Develop solutions that can genuinely transform customer interactions.
• Prizes & Recognition: Win exciting prizes and gain recognition for your groundbreaking ideas.

Who Should Participate? This hackathon is open to:

• Software Developers
• Data Scientists & ML Engineers
• UI/UX Designers
• Product Managers
• Students with a passion for AI and customer service
• Anyone with innovative ideas to improve customer support using AI!

Challenge Areas/Tracks: Participants can choose to focus on one or more of the following challenge areas:

• Intelligent Self-Service Bots:
  • Goal: Develop AI agents that can accurately understand customer queries and provide comprehensive, relevant solutions without human intervention.
  • Examples: Advanced FAQs, diagnostic bots, personalized recommendation engines.
• Proactive Customer Engagement:
  • Goal: Create agents that can anticipate customer needs or issues and reach out proactively to offer assistance or information.
  • Examples: Anomaly detection leading to outreach, personalized onboarding guides, alerts for potential service disruptions.
• Agent Assist & Augmentation:
  • Goal: Build AI tools that empower human customer support agents by providing real-time information, automating mundane tasks, or suggesting responses.
  • Examples: Sentiment analysis for live chats, real-time knowledge base lookups, automated ticket categorization and routing.
• Omnichannel AI Experience:
  • Goal: Design AI agents that can seamlessly operate across multiple channels (web, mobile, social media, voice) while maintaining context.
  • Examples: Consistent chat experience across platforms, voice AI integration with existing text-based support.
• Personalized Customer Journeys:
  • Goal: Develop AI agents that can tailor interactions based on individual customer history, preferences, and behavior.
  • Examples: AI-driven personalized offers, context-aware upsells/cross-sells, dynamic pricing based on customer segments.

Timeline : (FullDay Hackathon)

Agenda: Ideation, Development & Presentations

• 9:00 AM - 9:30 AM: Registration & Welcome Keynote
• 9:30 AM - 10:00 AM: Challenge Overview & Problem Statement Deep Dive
• 10:00 AM - 11:00 AM: Team Formation & Ideation Session
• 11:00 AM - 12:00 PM: Project Planning & Initial Design (Mentors available)
• 12:00 PM - 1:00 PM: Lunch Break
• 1:00 PM - 4:00 PM: Intensive Development & Prototyping (Mentors & Technical Support available)
• 4:00 PM - 4:30 PM: Project Submission Deadline & Final Touches
• 4:30 PM - 6:00 PM: Final Presentations to Judges
• 6:00 PM - 6:30 PM: Judges' Deliberation & Awards Ceremony
• 6:30 PM onwards: Networking & Celebration

Judging Criteria: Projects will be evaluated based on the following:

• Innovation & Creativity (25%): Uniqueness and novelty of the solution.
• Impact & Relevance (25%): How well the solution addresses a real customer support problem and its potential business value.
• Technical Implementation (25%): Quality of code, use of AI/ML models, robustness, and scalability (even in prototype form).
• User Experience (UX) & Design (15%): Intuition, ease of use, and overall user interface.
• Presentation & Demo (10%): Clarity of explanation, effectiveness of the demo, and ability to convey the solution's value.

Prizes:

• 1st Place: ₹10000 Cash Prize
• 2nd Place: ₹5000 Cash Prize
• 3rd Place: ₹ 2500 for 2  SWAG Bag, Certificates
• Special Category Prizes: : Most Innovative Use of LLMs, Most Scalable Solution

Resources & Support Provided:

• Mentors: Experienced AI engineers, data scientists, and customer support professionals.
• APIs & Tools: Access to relevant APIs (e.g., Google's Gemini API, other NLP/ML services) and development tools.
• Workshops: Optional short workshops on AI concepts, specific tools, or best practices.
• Food & Drinks: Provided throughout the hackathon.
• Dedicated Workspace: Comfortable environment with power and internet access.

Stay tuned for registration details!