Unleashing AI Innovation: Highlights from Our Internal Hackathon on AI Agents & Automation

Group Projects:

1. Group Phoenix – AI-Powered Personal Assistant with n8n for Task Automation

In today’s fast-paced world, managing tasks efficiently is essential.  Group Phoenix developed an AI-powered assistant, built on n8n, automates scheduling, email management, and web queries through simple text commands, enhancing productivity and efficiency.

How It Works:

1. Chat Trigger – Activated when a user sends a message.
2. Input Processing – Formats messages and maintains session context.
3. AI-Powered Actions – Uses OpenAI’s Chat Model to interpret and respond intelligently.
4. Seamless Integration – Connects with Google Calendar, Outlook, Gmail, and SerpAPI for scheduling, emails, and real-time data retrieval.
5. Instant Responses – Delivers processed results efficiently.

Key Features

• Simple and intuitive text-based command processing.
• Smart AI-powered decision-making with memory buffer context.
• Effortless integration with essential productivity tools.
• Continuous conversation memory for personalized and coherent assistance.

2. Team Sentinels – Automating Contact Us Form Handling with AI and Task Management

Team Sentinels developed an innovative solution to automate the handling of Contact-Us form submissions. The solution categorizes inquiries, sends timely responses, and creates tasks for the relevant teams to ensure smooth tracking and follow-up.

Workflow Breakdown:

1. Webhook Trigger: Captures data when a form is submitted.
2. AI-Powered Categorization: Uses Google Gemini to classify inquiries and create tailored responses.
3. Email Notifications: Sends an acknowledgment email to the user, and the respective team (HR, Sales, Support, etc.) receives notifications for relevant inquiries.
4. Google Tasks: Creates tasks and tracks their status, ensuring no request is forgotten.
5. Conditional Logic: Automates task updates, sending reminders for overdue tasks.

Key Features:

• AI-driven categorization of inquiries.
• Automated task creation and management.
• Efficient follow-up reminders to ensure prompt action.

This solution eliminates manual labor, helping businesses manage inquiries in an automated and structured way.    

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Individual Projects:

3. AI-Powered Security Automation – Extract, Analyze & Track Vulnerabilities (By: Vijaya kumari)

In cybersecurity, AI-driven automation can vastly improve vulnerability management. 

This solution uses AI to analyze OWASP ZAP reports, automatically 

categorizes vulnerabilities, and integrates them 

into GitHub issues for easy tracking and resolution.

Workflow Steps:

• Extract vulnerabilities from OWASP ZAP reports.
• Use AI (GPT-4o-mini) to categorize and analyze findings.
• Automatically create GitHub issues for each vulnerability.

Benefits:

• Faster and more accurate security tracking.
  
• Automated parsing of security reports.
• Consistent vulnerability monitoring and remediation.

This project brings efficiency and scalability to security teams, enabling better vulnerability management.         

                                                                                                                                 

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4. Automated API Collection Creation – AI-Powered Fast API to Postman (By: Fatima Zahara)

This project automates the extraction of API endpoints from Fast API applications and generates structured Postman collections, reducing the need for manual API documentation.

How it works:

• Scans FastAPI apps for endpoints.
• AI structures the data into Postman-compatible formats.                      
• The collection is uploaded directly to Postman.

Benefits:

• Eliminates manual effort in API documentation.
  
• Reduces errors in endpoint testing.
• Enhances API testing efficiency.

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5. AI-Powered Cucumber Scenario Generation (By: Arun Kumar)

This tool automates the creation of Cucumber scenarios by extracting user stories from GitHub issues and converting them into structured test scenarios. It integrates with GitHub Actions to keep the test cases up-to-date in real-time.

Key Features:

• Automated scenario creation from GitHub issues.
• Integration with CI/CD pipelines.
• Real-time updates for consistent testing.
  

What’s Next in AI-Driven QA Automation?

Building on these AI-powered innovations, the next phase focuses on developing a multi-agent automation framework to further enhance software testing. This framework will intelligently manage Cucumber scenario generation, test execution, and reporting, ensuring seamless automation for both functional and security testing.

With this approach, AI agents will work collaboratively to optimize testing workflows, reduce manual effort, and improve accuracy—paving the way for a smarter and more efficient QA process.

This AI assistant enhances Windows PC interaction by managing applications, files, and automation workflows using natural language commands.

Key Features:

• Open/close applications and manage files.
• AI decision-making for context-aware actions.
• User-friendly GUI with real-time screen monitoring.

7. Scrape Flow: A Framework for Multi-Agent AI System: (By: Faiz Ali)                                                                                                                      

AI-driven automation is evolving, and Scrape Flow takes it a step further by enabling multi-agent collaboration for web scraping, research, and content creation. Built on crew AI, this framework offers flexibility, customization, and seamless execution.

 Why Scrape Flow?

•  Multi-Agent System – Uses crew AI to coordinate AI agents for complex workflows
•  YAML-Based Customization – Easily define agent roles & tasks
•  Ready-to-Use Workflows – Automates research, reporting, and blog writing
•  Simple Execution – Just run crew ai run to start the process
•  Extensible – Add custom tools for enhanced agent capabilities

 Whether you’re automating data collection or streamlining content generation, Scrape Flow makes AI teamwork effortless!

8. Streamlining HR with an AI-Powered Chatbot Using Microsoft Copilot in Teams(By:Sameena )

This HR chatbot leverages Microsoft Copilot within Microsoft Teams to automate HR tasks like answering queries about policies and benefits.

Steps to Create the Bot:

1. Set up the bot using Microsoft Copilot Studio (formerly Power Virtual Agents)
2. Define topics and integrate HR-specific knowledge.
3. Deploy and monitor the bot in Teams for employee interaction.

 

Benefits:

• Improves HR efficiency by automating repetitive tasks
• Enhances employee engagement by providing quick answers.
• Alleviates HR workload and improves response efficiency.

            

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9. WhatsApp Personal Shopping Assistant – AI-Powered Convenience (By: Shaik Azgar)

This Python-based chatbot integrates Twilio’s API and OpenAI’s GPT to offer a personalized shopping experience on WhatsApp, tracking prices and availability, and sending real-time notifications about deals and restocks.

Features:

• WhatsApp integration for seamless messaging.
• AI-driven recommendations and responses.
• Tracks product prices and alerts users on price drops.

This assistant automates shopping tasks, making the process more efficient and personalized for users.

                                                                                                                                                     

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10. AI-Gmail Agent – Smart Email Management (By: Hemanth)

The AI Gmail Agent uses Lang Chain and Groq to simplify email tasks like drafting, updating, and sending emails, making email management faster and more efficient.

Features:

• AI-powered email drafting and management.
• Automates repetitive email tasks.
• User-friendly interface built with Dash.

This solution significantly boosts email productivity by reducing manual effort.

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11. Resume Screening Agent (By: Sabiha Sultana)

AI-powered agent to streamline the recruitment process. This agent screens resumes against job descriptions, ranks candidates based on relevance, and automatically invites qualified candidates for interviews.

Process:

• AI analyses resumes and ranks them.
• Shortlisted candidates are emailed to the hiring manager.
• Upon approval, interview invitations are sent.

This innovation dramatically reduces hiring time and enhances recruitment efficiency.

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Key Takeaways & Reflections

The AI Agents & Automation Hackathon showcased how AI can revolutionize automation across various domains. In just one week, teams built functional prototypes that streamlined workflows, enhanced productivity, and even revolutionized Quality Assurance (QA) with AI-powered testing, highlighting the immense potential of AI in business operations.

Projects in HR automation, cybersecurity, customer service, and AI-driven QA demonstrated how intelligent automation can reduce manual effort, improve accuracy, and optimize processes. As we continue refining these solutions, our goal is to integrate multi-agent automation frameworks that drive efficiency, scalability, and seamless AI-powered execution.

💡 Got an idea or challenge? Let’s collaborate to turn it into a powerful solution! Reach out to us at connect@appnetwise.com and let’s shape the future together.