TenderAsaan - Smart Tender Management Platform

TenderAsaan is a web-based AI-powered platform built to streamline the tendering workflow for vendors and contractors in Pakistan. The system automates tender collection, displays them in a central feed, and uses AI to generate summaries. With enhanced support for company onboarding, custom tender uploads, and an integrated chatbot for guidance, the platform significantly reduces the manual effort involved in finding and responding to tenders.

Team Members

Hassam Amer (F21605038) [email protected]
Nasar Ali (F21605044) [email protected]
Shoaib Ayub (F21605030) [email protected]
Muhamad Zeeshan (F21605031) [email protected]

Project Video

Abstract

Objectives

1. Module 1 - Tender Feed Display:
o Automatically fetch and display tenders from government sources (PPRA, Punjab PPRA, etc.)
o Show tenders in a user-friendly card-based UI with filters, tags, and sorting.
2. Module 2 - AI-based Tender Summary Generation:
o Use NLP models to extract and summarize key information from uploaded or linked tender documents.
o Help users make quicker bidding decisions.
3. Additional Features:
o Chatbot Integration: To guide users through the platform, explain features, and answer common questions.
o Company Registration: Allow companies to create verified profiles for submitting and tracking tenders.
o Tender Upload: Let companies manually upload tenders to keep private or share with others.

Methodologies

TenderAsaan Architecture - Textual Breakdown (Simplified)
1. Client Layer (Frontend Layer)
Users interact with the system through the web-based UI, which consists of:
a. Auth Page - User login/registration
b. Dashboard - Central hub for navigation
c. Tender Feed Panel - Displays tenders from backend
d. Company Panel - For companies to upload and manage tenders
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2. App Layer (Backend/API Layer)
Handles request routing, logic, and database interactions:
a. API Gateway - Entry point for all requests from the frontend
b. Auth Lambda - Handles authentication and token validation
c. Backend Server - Executes business logic and interacts with the database
d. Database - Stores tenders, users, uploads, and company data
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3. Messaging Layer
a. Responsible for passing tender processing tasks (e.g. summarization) asynchronously.
b. Ensures smooth load balancing and system performance.
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4. AI Services
a. AI Summary Engine - Automatically generates tender summaries using NLP
b. Analytics - Tracks and visualizes system and user behavior
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5. File Storage
a. Stores uploaded documents (PDFs/images) and AI-generated summaries securely.

Outcomes

o Efficiency: Users get instant summaries without reading long documents.
o Ease of Use: Chatbot and clean UI simplify navigation, even for non-technical users.
o Expanded Reach: Company-uploaded tenders enable more business opportunities.
o Automation: Reduces human error and saves time through smart AI and tender management.
o Scalability: Platform architecture supports adding more features like bidding, analytics, and communication.

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