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.
Learning management system
Traditional learning systems rely on manual processes for sharing course materials, assignments, attendance, and communication between teachers and students. This creates difficulties in managing academic activities efficiently, tracking student progress, and providing timely feedback. The proposed Learning Management System aims to provide a centralized digital platform that improves learning, communication, and academic management.
AI-Based Facial Recognition Attendance System for CUI Vehari CS Faculty
Traditional faculty attendance systems are manual, time-consuming, and prone to human errors and proxy attendance. These methods require significant administrative effort and often produce inaccurate attendance records. Existing systems generally lack automated identity verification and real-time attendance management. This project aims to develop an AI-Based Facial Recognition Attendance System that automatically identifies Computer Science faculty members using facial recognition technology and marks attendance in real time. The system will improve attendance accuracy, eliminate proxy attendance, reduce manual workload, and provide secure attendance management with reports and analytics.
AI-Powered Adaptive Diet & Fitness System
Current diet and fitness applications often provide static recommendations that do not sufficiently adapt to changes in a user's behavior, adherence, progress, and fitness goals. Users may skip meals or workouts, making fixed plans less effective. This project aims to develop an AI-powered adaptive system that generates personalized diet and exercise plans and continuously analyzes user behavior to automatically adjust recommendations according to their progress and adherence
Factlens: Fake News Detection Platform
In the digital age, social media and online platforms have made it extremely easy for fake news and misleading information to spread rapidly. Many users are unable to verify the authenticity of news before sharing it, which leads to misinformation, confusion, and sometimes social or political harm. There is a lack of an accessible and automated system that can quickly analyze news content and determine whether it is real or fake. Therefore, this project aims to develop a Fake News Detection Platform that uses machine learning techniques to analyze news content and help users verify information before trusting or sharing it.
Smart Lost & Found Management System for University
Students frequently lose items (ID cards, wallets, mobiles) on campus, and there is no centralized system to report or recover them efficiently.
GharFix – On-Demand Home Service Platform
In many areas, finding reliable and skilled home service professionals (e.g., electricians, plumbers, carpenters, masons) is difficult, time-consuming, and often unsafe. People rely on word-of-mouth or random contacts, which leads to: Unverified workers Unclear pricing Delays and poor service quality No accountability or complaint system There is a need for a centralized, trusted, and efficient digital platform that connects customers with verified service providers for home-related tasks.
Generic Automation for University
Universities rely heavily on manual and repetitive workflows such as admissions, attendance, transcript requests, and HR approvals. These manual processes reduce efficiency, increase paperwork, and cause delays for both students and staff.
AI-Based Multilingual Fake News and Propaganda Detection System
The rapid spread of fake news and propaganda on social media platforms has become a critical issue in Pakistan. Users frequently communicate in Urdu, Roman Urdu, and English, often mixing these languages (code-switching), which makes it difficult for existing fake news detection systems to accurately analyze such content. Most existing models are trained on English or standard Urdu datasets and fail to effectively process Roman Urdu and multilingual text. Additionally, identifying propaganda techniques such as emotional manipulation, fear appeal, and political bias remains a significant challenge. This project aims to develop an intelligent AI-based system capable of detecting fake news and propaganda in multilingual text (Urdu, Roman Urdu, and English), while addressing the limitations of existing systems by incorporating Pakistan-specific linguistic patterns.
PSM
Educational institutions (especially small academies and portfolio-based organizations) face challenges in managing and showcasing their digital presence efficiently. Most lack a centralized system to manage websites, portfolios, updates, and user interactions. Existing solutions are either too complex, expensive, or not tailored to their needs. There is also limited support for scalability, collaboration among developers, and recurring income generation through digital platforms.
| Project Information | Status | Batch | Technologies | Action |
|---|---|---|---|---|
|
Learning management system
Traditional learning systems rely on manual processes for sharing course materials, assign...
|
Active | FA23 (2026) |
JavaScript
TypeScript
Python
+4
|
Details |
|
AI-Based Facial Recognition Attendance System for CUI Vehari CS Faculty
Traditional faculty attendance systems are manual, time-consuming, and prone to human erro...
|
Active | FA23 (2026) |
MongoDB
Express.js
React
+2
|
Details |
|
AI-Powered Adaptive Diet & Fitness System
Current diet and fitness applications often provide static recommendations that do not suf...
|
Active | FA23 (2026) |
Dart
Flutter
JavaScript
+10
|
Details |
|
Factlens: Fake News Detection Platform
In the digital age, social media and online platforms have made it extremely easy for fake...
|
Active | FA23 (2026) |
Python
JavaScript
React
+2
|
Details |
|
Smart Lost & Found Management System for University
Students frequently lose items (ID cards, wallets, mobiles) on campus, and there is no cen...
|
Active | FA23 (2026) |
Flutter
Firebase
|
Details |
|
GharFix – On-Demand Home Service Platform
In many areas, finding reliable and skilled home service professionals (e.g., electricians...
|
Active | FA23 (2026) |
MongoDB
Express.js
React
+1
|
Details |
|
Generic Automation for University
Universities rely heavily on manual and repetitive workflows such as admissions, attendanc...
|
Active | FA23 (2026) |
|
Details |
|
AI-Based Multilingual Fake News and Propaganda Detection System
The rapid spread of fake news and propaganda on social media platforms has become a critic...
|
Active | FA23 (2026) |
Python
Bootstrap
Flask
|
Details |
|
PSM
Educational institutions (especially small academies and portfolio-based organizations) fa...
|
Active | FA23 (2026) |
MongoDB
Express.js
React
+3
|
Details |
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Smart Lost & Found Management System for University
* The system shall allow users to register using email and password
* The system shall allow users to login/logout securely
* The system shall validate user credentials before granting access
* The system shall allow users to reset password
⸻
👤 2. User Profile Management
* The system shall allow users to view and edit their profile
* The system shall allow users to update name, phone number, and profile picture
⸻
📦 3. Post Lost Item
* The system shall allow users to report a lost item
* The user shall provide:
* Item name
* Description
* Category
* Date of loss
* Location
* Image (optional but recommended)
⸻
📥 4. Post Found Item
* The system shall allow users to report a found item
* The user shall provide:
* Item details
* Location found
* Image
* Date
⸻
🔍 5. Search & Filter Items
* The system shall allow users to search items by keywords
* The system shall allow filtering based on:
* Category
* Status (Lost/Found)
* Date
⸻
📄 6. View Item Details
* The system shall display complete information of selected item
* The system shall show:
* Image
* Description
* Location
* Contact information
⸻
💬 7. Communication Between Users
* The system shall allow users to contact the item poster
* The system shall provide:
* Chat system OR
* Contact details sharing
⸻
🔔 8. Notification System
* The system shall notify users when:
* A matching item is posted
* Someone responds to their post
⸻
🧠 9. Smart Matching System
* The system shall automatically suggest similar items
* Matching shall be based on:
* Title similarity
* Category
* Location
⸻
📍 10. Location Management
* The system shall allow users to add location of lost/found item
* The system may display location on map
⸻
📸 11. Image Upload
* The system shall allow users to upload images of items
* The system shall store images securely
⸻
✅ 12. Item Status Management
* The system shall allow users to:
* Mark item as Lost
* Mark item as Found
* Mark item as Returned
⸻
🛡️ 13. Admin Control (Optional but Recommended)
* The system shall allow admin to:
* View all posts
* Delete inappropriate posts
* Manage users
⸻
📊 14. Data Storage & Retrieval
* The system shall store all data in database
* The system shall retrieve data efficiently for display
- 🏁 Simple Summary
- The Lost & Found Management System is a mobile application designed for university students to help them report and find lost items easily. Users can post details of lost or found items, search for items, and contact each other to return them. The system also provides image upload, location sharing, and notifications to make the process faster and more reliable. Overall, it is a simple and useful solution to manage lost and found items in a university environment.
1. The system shall load data within acceptable time (e.g., < 3 seconds)
2. The system shall handle multiple users simultaneously
⸻
🔒 Security
3. The system shall ensure secure authentication and authorization
4. The system shall protect user data from unauthorized access
5. The system shall encrypt sensitive data (passwords, etc.)
⸻
📱 Usability
6. The system shall provide a user-friendly interface
7. The system shall be easy to navigate for all users
8. The system shall support responsive design for different screen sizes
⸻
🌐 Availability
9. The system shall be available 24/7 (except maintenance)
10. The system shall minimize downtime
⸻
🔧 Maintainability
11. The system shall be easy to update and maintain
12. The system shall have modular and well-structured code
⸻
📈 Scalability
13. The system shall support increasing number of users and data
⸻
🔄 Reliability
14. The system shall perform consistently without failure
15. The system shall recover from errors gracefully
⸻
🌍 Compatibility
16. The system shall run on Android devices (and optionally iOS)
17. The system shall be compatible with modern Flutter versions
⸻
🔔 Notification Efficiency
18. The system shall deliver notifications in real-time or near real-time
⸻
📦 Storage Efficiency
19. The system shall optimize storage for images and data