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Overview
To explore and prototype innovative agentic AI workflows that demonstrate the power of autonomous AI agents working together to solve complex business challenges across fashion technology and enterprise data management.
Use Cases
VendorBoard – Smart & Simple Sales Tracker App
Objective
To develop a responsive and easy-to-use web application for small business owners and shopkeepers to track, manage, and visualize daily sales data with secure authentication and downloadable reports.
Description
VendorBoard is a modern, user-friendly sales tracker that enables users to record their daily product sales, analyze trends, and download historical data in Excel format. With JWT-based secure login, users access a clean dashboard where they can switch between sales entry, analytics, and history—all optimized for mobile, tablet, and desktop use.
Key Features
JWT-based Secure Authentication: Login/signup system to protect user
data.
Sales Entry Panel: Enter product name, quantity, and price with auto-
calculation of totals.
Sales Analytics: Visual insights with graphs and metrics for weekly,
monthly, and yearly sales.
Sales History: Filter and view previous sales with download and edit
functionality.
Excel Report Download: Export filtered sales history as .xlsx files.
Responsive Dashboard: Mobile/tablet-friendly interface with collapsible
sidebar.
Architecture Overview
Benefits
Secure Access : JWT ensures only authorized access to user-specific sales data.
Visual Insights : Helps users understand trends, top-selling products and performance.
Historical Tracking : Easily review and manage sales history by date or range.
Downloadable Reports : Quickly export sales data for records or
analysis
Device-Friendly: Fully responsive UI makes it convenient for mobile - first users.
Challenges
Implementing real-time and dynamic updates for charts and history.
Managing complex edits and deletions of specific date-based sales entries.
Ensuring fast and correct Excel generation across filter types.
Maintaining robust security while keeping user experience smooth.
Designing a scalable database schema for long-term data retention.
Email-Based Leave Management System
Objective
Build a comprehensive leave management system that automatically processes email-based leave applications and provides dual dashboards for administrators and employees to manage the complete leave request workflow.
Description
This project creates a traditional leave management solution that monitors incoming emails for leave applications, extracts key information through email parsing, and provides separate interfaces for admins and employees. The system automates the approval workflow while maintaining detailed records and analytics for HR compliance.
Key Features
Email Integration : Automatically scrapes emails with "Leave Application" subject line
Data Extraction : Parses email content to extract Employee Name, Leave Reason, Dates, and Sender Email
Admin Dashboard: Centralized view of all pending leave requests with action buttons
Employee Portal : Self-service leave application form with status tracking
Search & Filter System : Filter requests by employee name or email address
Leave Analytics : Visual dashboard showing monthly/yearly trends by department
Notification System: Email confirmations for approvals and rejection reasons
Leave Request Management : Accept/Reject functionality with automated email responses
Leave History Tracking : Complete audit trail of all leave-related activities
Tech Stack
React.js
Angular
Vue.js
Front End
Backend
Node.js
Python
Django
Database
Email Processing
IMAP/POP3 libraries
nodemailer/smtplib
Email Parsing
Regular Expressions
Email Parsing Libraries
File Upload
built-in file handling for attachments
Multer
Authentication
Session-Based Auth
Charts & Analytics
D3.js
Benefits
Streamlines traditional email-based leave request process
Eliminates manual data entry and reduces processing time
Provides centralized dashboard for HR management
Maintains comprehensive leave records for compliance
Automates email responses for consistent communication
Offers detailed analytics for workforce planning decisions
Challenges
Parsing diverse email formats and unstructured text content
Handling email server authentication and security protocols
Managing email attachments (medical certificates, documents)
Ensuring reliable email delivery and avoiding spam filters
Handling concurrent requests and database synchronization
Maintaining data accuracy during email parsing process
Architecture Overview
Email monitoring service scans for "Leave Application" emails
Email parser extracts structured data (name, dates, reason)
Extracted data stored in leave requests database
Admin dashboard displays pending requests with action buttons
Feedback and report are generated
Employee receives confirmation/rejection email with details
Admin clicks Accept/Reject triggering email response
Email-Based Leave Management System
Description
This project creates a traditional leave management solution that monitors incoming emails for leave applications, extracts key information through email parsing, and provides separate interfaces for admins and employees. The system automates the approval workflow while maintaining detailed records and analytics for HR compliance.
Objective
Build a comprehensive leave management system that automatically processes email-based leave applications and provides dual dashboards for administrators and employees to manage the complete leave request workflow.
Tech Stack
React.js
Angular
Vue.js
Front End
Backend
Node.js
Python
Django
Database
Email Processing
IMAP/POP3 libraries
nodemailer/smtplib
Email Parsing
Regular Expressions
Email Parsing Libraries
File Upload
built-in file handling for attachments
Multer
Authentication
Session-Based Auth
Charts & Analytics
D3.js
Benefits
Streamlines traditional email-based leave request process
Eliminates manual data entry and reduces processing time
Provides centralized dashboard for HR management
Maintains comprehensive leave records for compliance
Automates email responses for consistent communication
Offers detailed analytics for workforce planning decisions
Challenges
Parsing diverse email formats and unstructured text content
Handling email server authentication and security protocols
Managing email attachments (medical certificates, documents)
Ensuring reliable email delivery and avoiding spam filters
Handling concurrent requests and database synchronization
Maintaining data accuracy during email parsing process
Architecture Overview
Email monitoring service scans for "Leave Application" emails
Email parser extracts structured data (name, dates, reason)
Extracted data stored in leave requests database
Admin dashboard displays pending requests with action buttons
Feedback and report are generated
Employee receives confirmation/rejection email with details
Admin clicks Accept/Reject triggering email response
Key Features
Email Integration : Automatically scrapes emails with "Leave Application" subject line
Data Extraction : Parses email content to extract Employee Name, Leave Reason, Dates, and Sender Email
Admin Dashboard: Centralized view of all pending leave requests with action buttons
Employee Portal : Self-service leave application form with status tracking
Search & Filter System : Filter requests by employee name or email address
Leave Analytics : Visual dashboard showing monthly/yearly trends by department
Notification System: Email confirmations for approvals and rejection reasons
Leave Request Management : Accept/Reject functionality with automated email responses
Leave History Tracking : Complete audit trail of all leave-related activities
Taskify – Smart Task Manager Documentation
Objective
To build a smart, modern, and fully responsive web application that enables users to manage their personal tasks efficiently with features like secure JWT-based authentication and speech-to-text task creation
Description
Taskify is a responsive web-based task manager designed to simplify daily task handling. It provides users with a clean, interactive interface for task creation, viewing, updating, and deletion. Through secure JWT-based authentication,each user accesses only their own task data.
A standout feature is speech-to-text input for the task title and description fields, allowing users to dictate their tasks instead of typing, enhancing accessibility and hands-free usability.
All task data is stored in a secure database, and access is protected through token-based API authentication. The application is fully responsive, ensuring usability across desktops, tablets, and mobile devices
Key Features
User Authentication:
Secure signup and login using JWT token authentication.
Password confirmation and validation
Dashboard Functionality:
0 Sidebar with task titles
o Main panel for task creation/view/edit/delete
o Responsive layout with collapsible sidebar on smaller screens
Task Operations:
Create, view, update, and delete tasks. Auto-stamped creation date .Tasks linked to authenticated user ID
Speech-to-Text:
Microphone button next to title and description fields.Converts spoken words into text using speech recognition
Security:
o JWT-protected routes and APIs
o Only authenticated users can access their dashboard and data
Responsive Design:
o Optimized for desktop, tablet, and mobile
o Clean and modern UI design
Architecture Overview
Benefits
Secure Access : JWT ensures only authorized access to user-specific sales data.
Visual Insights : Helps users understand trends, top-selling products and performance.
Historical Tracking : Easily review and manage sales history by date or range.
Downloadable Reports : Quickly export sales data for records or
analysis
Device-Friendly: Fully responsive UI makes it convenient for mobile - first users.
Challenges
Implementing real-time and dynamic updates for charts and history.
Managing complex edits and deletions of specific date-based sales entries.
Ensuring fast and correct Excel generation across filter types.
Maintaining robust security while keeping user experience smooth.
Designing a scalable database schema for long-term data retention.
Technical Requirements
Prevents overstocking and understocking
Increases business transparency
Reduces manual effort and paperwork
Enables easy scaling to include more warehouses or products
Mandatory Requirements
Handling concurrent updates (real-time sync)
Validating supplier-product relationships
Maintaining SQL safety and injection prevention
Maintaining data accuracy during edits or deletes
Timeline
Milestone
Date
Description
Registration Opens
31st July 2025
Submit your entries online
Registration Closes
12th August 2025
Last date to Register
Quiz for Shortlisting
14th August 2025
Online quiz for all shortlisted team from registered teams
Final List Announcement
16th August 2025
Top 10 Teams will be announced
Hackathon Starts
18th August 2025
After innogration developement starts
Result Day
20th August 2025
Winner team will be announce and Panel discussion starts from 2 pm
Registration Closes
12th August 2025
Last date to Register
Rewards
01
Winner
Price will reveal soon.........
02
Winner
Price will reveal soon........
Award Ceremony
On the final day of QHackathon 2025, we’ll honor the brightest minds with:
Exciting Cash Prizes (to be revealed live)
Official Certificates of Excellence
Exclusive Mementos from QHills