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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Factlens: Fake News Detection Platform
The system shall allow users to register, log in securely, and access personalized features based on their role.
News Input Submission Module
The system shall allow users to input news text, headlines, or URLs for verification and analysis.
Fake News Detection and Classification
The system shall analyze submitted news using a trained machine learning model and classify it as real or fake.
Prediction Result Display
The system shall display results clearly, including classification output and confidence score of the prediction.
Report Generation Module
The system shall generate a detailed report for each analyzed news item for user reference.
Admin Dashboard
The system shall provide an admin panel to monitor users, system performance, and manage data records.
Data Storage System
The system shall store user data, submitted news, and prediction history securely for future access and analysis.
- 1. User Registration & Authentication
- Users can create accounts, log in securely, and manage their profiles. This ensures only verified users can access advanced features.
- 2. Fake News Detection System (AI-based)
- The core feature that analyzes news articles or text using a machine learning model and predicts whether the content is real or fake.
- 3. Real-time News Analysis
- Users can input news text or URLs, and the system will instantly process and display results in real time.
- 4. Report Generation Module
- Generates detailed reports showing prediction results, confidence scores, and analysis history for user reference.
- 5. News History & Data Storage
- Stores previously checked news articles so users can review past results anytime.
- 6. Admin Dashboard
- Allows administrators to monitor system activity, user behavior, and model performance.
- 7. Model Training & Updates
- Enables continuous improvement of the AI model by retraining it with new datasets for better accuracy.
The system shall ensure secure authentication and protect user data using encryption techniques.
Performance
The system shall provide fast response time for news analysis with minimal delay.
Scalability
The system shall be able to handle increasing numbers of users and news requests efficiently.
Usability (UI/UX)
The system shall have a simple, clean, and user-friendly interface for easy interaction.
Reliability
The system shall provide consistent and accurate predictions with minimal system downtime