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.
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.
SmartCart Clustering System ML based
This project solves these issues by: grouping customers based on similar behavior identifying valuable customers detecting low-engagement customers supporting targeted promotions improving customer retention strategies enabling personalized marketing campaigns Example: VIP customers can receive premium offers Discount seekers can receive coupon-based campaigns Inactive users can receive re-engagement offers
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...
| Project Information | Status | Batch | Technologies | Action |
|---|---|---|---|---|
|
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 |
|
SmartCart Clustering System ML based
This project solves these issues by:
grouping customers based on similar behavior
identi...
|
Active | FA23 (2026) |
Python
NumPy
scikit-learn
+1
|
Details |
|
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 |
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SmartCart Clustering System ML based
grouping customers based on similar behavior
identifying valuable customers
detecting low-engagement customers
supporting targeted promotions
improving customer retention strategies
enabling personalized marketing campaigns
Example:
VIP customers can receive premium offers
Discount seekers can receive coupon-based campaigns
Inactive users can receive re-engagement offers
Marketing Team
Uses the system for:
targeted advertising
promotional planning
Business Analysts
Uses the system for:
customer behavior analysis
data insights generation
Management
Uses the system for:
strategic planning
revenue optimization
CRM Team
Uses the system for:
customer retention planning
Allow dataset upload
Preprocess customer data
Select relevant features
Apply clustering algorithms
Generate customer clusters
Display clustering results
Visualize clusters graphically
Export reports
Show cluster summaries
- Customer Dataset Input
- The system accepts customer data containing attributes such as:
- income
- education
- marital status
- purchase history
- website visits
- recency
- complaints
- 2. Data Preprocessing
- The system performs:
- missing value handling
- normalization
- encoding categorical values
- 3. Customer Clustering
- The system applies clustering algorithms such as:
- K-Means Clustering
- to divide customers into meaningful groups.
- 4. Cluster Visualization
- The system provides visual outputs such as:
- scatter plots
- bar charts
- cluster graphs
- 5. Customer Segment Analysis
- Displays detailed summaries of each cluster, including:
- average spending
- buying frequency
- customer activity level
- 6. Reporting
- Generates final clustering reports for business analysis.
Performance
process 2240 customer records efficiently
Usability
easy-to-use interface
Reliability
consistent clustering results
Scalability
support larger datasets in future
Security
protect customer information
Maintainability
modular and understandable code
Compatibility
run on standard computing systems