Active Final Year Projects Showcase
Explore verified, ongoing final year projects advancing across all academic batches. Filter by emerging tech stacks, discover architectures, and explore student innovation.
Doctor appointment and basic diagnosis system
The Doctor Appointment & Basic Diagnosis System is a mobile/web-based application designed to simplify the process of booking medical appointments and providing preliminary health assessments. The system allows patients to register, search ...
AI-Based Expense Analyzer Mobile Application
Project Description 🔹 Problem Statement Managing personal expenses is a common challenge for many individuals. People often fail to track their daily spending due to unorganized receipts, multiple formats of invoices (images, PDFs, QR c...
BazaarMind: An AI-Driven Multi-Agent System for Hyperlocal Dropshipping Intelligence and Market Insights in Emerging Economies
Pakistan’s small and medium-sized sellers face major challenges in identifying real-time market demand, verifying supplier authenticity, and setting optimal pricing due to rapidly changing local trends, seasonal events, and fragmented digital data. This lack of data-driven decision support leads to poor product selection, reduced profit margins, and missed business opportunities in competitive e-commerce and social commerce platforms.
AI-Based Legal Case Analysis and Decision Support System for Pakistani Law with Multilingual Assistance
In Pakistan, over 80% of legal disputes never reach resolution because ordinary citizens face a triple barrier: unaffordable lawyer fees, widespread legal illiteracy, and a severe language gap where court proceedings in formal English and complex Urdu remain incomprehensible to common people. Existing solutions—static information portals, expensive lawyer marketplaces, and generic AI tools with zero knowledge of Pakistani laws—completely fail to serve the needs of 220 million citizens, leaving the vulnerable majority without any accessible path to justice.
LawBridge
This project is an AI-based Legal Assistance System that helps users get quick legal guidance and connect with professional lawyers. It provides features like AI chatbot support, lawyer search, appointment booking, and real-time consultatio...
CodeQuest: A Gamified Mobile Platform for Coding Practice
1 - Lack of Beginner-Friendly Practice Platforms: Existing platforms like LeetCode and HackerRank are designed for experienced programmers, making them intimidating and inaccessible for first-year and second-year CS students who are still learning foundational concepts. 2 - No Mobile-First Coding Environment: Most coding practice platforms are desktop/web-based, creating a barrier for Pakistani university students who primarily rely on mobile devices for learning. 3 - Low Motivation and Dropout Rate: Beginners lack structured progression and engagement mechanics, leading to inconsistent practice habits and early dropout from self-directed coding learning. 4 - Generic and Unhelpful Feedback: When beginners make mistakes, existing platforms either reveal the full solution or provide no explanation, preventing students from developing independent problem-solving skills.
AI-Based Community Hub
The AI-Based Community Hub for Local Services and Micro Jobs is a web-based platform designed to connect residents, service providers, and local shop owners within a specific community such as a town or neighborhood. The system allows users...
Smart Agro Assistant
Project Description: Farmers often face challenges such as crop diseases, improper use of fertilizers, lack of timely information, and limited access to expert agricultural advice. These issues lead to reduced crop yield and financial loss...
Cafe Point Of Sale
Cafe Point Of Sale It involves Customer management And Dealing With The Payment Methods And Ordering Catalog
| Project Information | Status | Batch | Technologies | Action |
|---|---|---|---|---|
|
Doctor appointment and basic diagnosis system
The Doctor Appointment & Basic Diagnosis System is a mobile/web-based application designed...
|
Active | FA23 (2026) |
Flutter
|
Details |
|
AI-Based Expense Analyzer Mobile Application
Project Description
🔹 Problem Statement
Managing personal expenses is a common challen...
|
Active | FA23 (2026) |
Flutter
Python
Firebase
|
Details |
|
BazaarMind: An AI-Driven Multi-Agent System for Hyperlocal Dropshipping Intelligence and Market Insights in Emerging Economies
Pakistan’s small and medium-sized sellers face major challenges in identifying real-time m...
|
Active | FA23 (2026) |
Python
TypeScript
JavaScript
+1
|
Details |
|
AI-Based Legal Case Analysis and Decision Support System for Pakistani Law with Multilingual Assistance
In Pakistan, over 80% of legal disputes never reach resolution because ordinary citizens f...
|
Active | FA23 (2026) |
Python
JavaScript
React
+15
|
Details |
|
LawBridge
This project is an AI-based Legal Assistance System that helps users get quick legal guida...
|
Active | FA23 (2026) |
TypeScript
MongoDB
Express.js
+4
|
Details |
|
CodeQuest: A Gamified Mobile Platform for Coding Practice
1 - Lack of Beginner-Friendly Practice Platforms: Existing platforms like LeetCode and Hac...
|
Active | FA23 (2026) |
Flutter
Dart
Firebase
+1
|
Details |
|
AI-Based Community Hub
The AI-Based Community Hub for Local Services and Micro Jobs is a web-based platform desig...
|
Active | FA23 (2026) |
MongoDB
Express.js
React
+1
|
Details |
|
Smart Agro Assistant
Project Description:
Farmers often face challenges such as crop diseases, improper use of...
|
Active | FA23 (2026) |
Flutter
Firebase
|
Details |
|
Cafe Point Of Sale
Cafe Point Of Sale
It involves Customer management And Dealing With The Payment Methods A...
|
Active | FA23 (2026) |
MongoDB
Express.js
React
+1
|
Details |
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CodeQuest: A Gamified Mobile Platform for Coding Practice
2 - No Mobile-First Coding Environment: Most coding practice platforms are desktop/web-based, creating a barrier for Pakistani university students who primarily rely on mobile devices for learning.
3 - Low Motivation and Dropout Rate: Beginners lack structured progression and engagement mechanics, leading to inconsistent practice habits and early dropout from self-directed coding learning.
4 - Generic and Unhelpful Feedback: When beginners make mistakes, existing platforms either reveal the full solution or provide no explanation, preventing students from developing independent problem-solving skills.
2 - Self-Learners: Individuals outside formal education who want to learn basic programming concepts through a mobile-friendly, gamified experience without needing to set up a development environment.
2 - Multi-Type Challenge System: The platform must support five exercise types — write-from-scratch, fix-the-bug, fill-in-the-blank, MCQ concept quizzes, and output prediction questions.
3 - In-App Code Editor and Execution: The app must embed a mobile code editor integrated with Judge0 API to compile and run student code in real time, returning pass/fail results with test case output.
4 - AI-Powered Hint and Feedback System: Each challenge must offer three progressive hint levels via Gemini API, and upon wrong submission, the AI must explain the specific logical error the student made.
5 - Gamification Engine: The system must implement XP points, level progression, daily coding streaks, achievement badges, and a lives system to sustain engagement.
6 - Leaderboard System: The platform must maintain global, friends-based, and university-scoped leaderboards with weekly resets.
- 1 - Gamified XP and Leveling System: Students earn Experience Points per challenge solved, progress through levels (Beginner → Legend), and maintain daily streaks to build consistent coding habits.
- 2 - Real Code Execution on Mobile: Actual code is compiled and run via Judge0 API — not simulated — giving students genuine pass/fail feedback with test case results directly on their phone.
- 3 - AI Progressive Hint System: Three-level hints powered by Gemini API guide students toward the answer without revealing it, and wrong submissions trigger a specific AI-generated explanation of the error.
- 4 - University Leaderboard: A COMSATS Vehari-scoped weekly leaderboard lets students compete with their own batchmates, adding healthy peer motivation.
- 5 - Daily Challenge with Bonus XP: One featured challenge published every day with double XP rewards, driving daily app engagement.
- 6 - Progress Analytics Dashboard: Visual breakdown of topic mastery, accuracy per concept, and AI-identified weak areas with recommended challenges to target improvement.
2 - Scalability: The Firebase Firestore backend must handle concurrent users across the university without degradation in leaderboard or progress sync performance.
3 - Usability: The UI must be intuitive enough for a complete beginner with no prior app experience, following Material Design 3 guidelines with clear visual feedback on every action.
4 - Reliability: The daily streak and XP system must be consistent and tamper-resistant, with all progress persisted in Firestore to survive app reinstalls or device changes.