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.
AI-based Food Exchange Platform
Project Description: Problem it Solves: Food businesses like restaurants, hotels, and food suppliers face massive losses due to surplus inventory and poor inter-branch coordination. Food expires before it can be redistributed, causing bot...
DIgital Repository for academic excellence
Problem: Current university portals delete faculty profiles after resignation, and faculty cannot update their own academic information in real-time, causing data loss and fragmented records. Proposed Solution: A live faculty portal where ...
Bidstream:Real time Auction platform
Current live selling on social media platforms (like Instagram and TikTok) is unstructured and inefficient because bidding happens through comments, which leads to confusion, lack of transparency, fake buyers, and manual errors in selecting winners. Sellers cannot properly track bids or maintain transaction records, resulting in lost revenue and trust issues.
AI-Based Mobile Phishing Detection and Security System
Project Overview: The rapid growth of internet usage through smartphones has increased the risk of cyber threats, especially phishing attacks. Phishing is a malicious practice where attackers send deceptive links through SMS, emails, or so...
StyleMate: AI-Based OutFit Recommendation System
Users often struggle to choose suitable outfits due to lack of fashion knowledge, time constraints, and inability to coordinate clothes properly. Existing solutions mostly focus on shopping rather than using a user’s own wardrobe. Therefore, there is a need for an AI-based system that provides personalized outfit recommendations based on occasion and real-time weather conditions using the user’s existing clothing collection.
EatDesi web and mobile app
User Registration & Login Users can create an account using email/phone. Users can log in and log out securely. Password reset option should be available. 2. User Profile Management Users can view and edit their profile. Users can add...
Opti Fit: Total gym control
Traditional gym management relies heavily on manual record-keeping or fragmented digital tools that serve only as administrative ledgers. These systems focus primarily on fee collection and attendance, completely neglecting the member’s fitness experience and personal progress. Consequently, gym owners face high "revenue leakage" when memberships expire unnoticed, while members frequently lose motivation due to a lack of personalized guidance and a clear roadmap to reach their specific health goals. Furthermore, trainers struggle to manually track the body metrics and workout history of dozens of clients simultaneously, leading to a "one-size-fits-all" approach that fails to deliver results. There is a critical need for an integrated, intelligent ecosystem that automates business operations while providing members with a dynamic, data-driven fitness journey tailored to their individual needs.
CareerCartAI: An AI-Powered Unified Career Intelligence & Education Navigation Platform for Pakistani Students and Professionals.
01. Problem Statement What problem does this project solve? If you are a student in Pakistan trying to figure out your career path, the process is genuinely exhausting. There is no single place that tells you what jobs you qualify for, which university suits your budget and grades, which scholarships you are actually eligible for, or what skills you need to build to get where you want to go. You end up jumping between five or six different websites, none of which talk to each other, and still walk away with more questions than answers. CareerCartAI was built specifically to fix this. It is a platform that combines all of those scattered resources into one place and makes them actually useful by personalizing everything to the individual user. The Core Problems in Detail Pakistan has over 1.9 million university students, and yet the infrastructure to help them make informed career decisions is almost nonexistent. Here is what they are currently dealing with: • Platform Fragmentation: A student today has to check Rozee.pk for jobs, the HEC portal for scholarships, individual university websites for admissions, Coursera or YouTube for skills, and LinkedIn for networking. None of these platforms share data, and none of them care about who you specifically are. The result is hours of manual research every week that most students simply do not have time for. • Zero Personalization: Every job board and scholarship portal shows the same results to every user. A student from Quetta with a 2.7 GPA in Business sees the same job listings as a student from Lahore with a 3.9 GPA in Computer Science. There is no intelligence behind the results, which means users waste enormous time filtering through opportunities they have no chance of getting. • No Access to Career Guidance: Professional career counseling is available to fewer than 5% of Pakistani university students. It is expensive, geographically limited, and mostly unavailable outside major cities. Students in Tier-2 cities like Faisalabad, Multan, or Peshawar have essentially no structured guidance at all. Decisions about what to study and where to work end up being made based on whatever a family member suggests or whatever is trending on social media. • Skill Gap Between Education and Industry: Pakistani universities often teach curricula that are 3 to 5 years behind what employers actually want. Graduates enter the job market without knowing exactly which skills they are missing, and there is no tool that shows them in real time. This creates a painful situation where employers cannot find qualified candidates while thousands of graduates remain unemployed. • ATS Rejection Problem: A majority of companies with more than 50 employees now use Applicant Tracking Systems (ATS) to automatically screen resumes before a human ever looks at them. Research suggests that up to 75% of resumes get rejected at this stage, not because the applicant is unqualified, but because their resume used the wrong keywords or formatting. Pakistani students are almost entirely unaware this barrier even exists. Why Existing Platforms Fall Short Platforms like Rozee.pk, Indeed Pakistan, and the HEC portal each solve one narrow part of the problem, but none of them offer intelligent matching, career planning, or any kind of personalized guidance. LinkedIn requires an existing professional network to be useful, which immediately disadvantages first-generation students. Coursera teaches skills but does not tell you which skills to learn based on your specific career goal. CareerCartAI is designed from the ground up to address all five problems together in one unified platform.
Customer-Focused E-Commerce Platform
Traditional e-commerce platforms often display the same products to every customer, which makes the shopping experience less personal and less engaging. Customers may spend extra time searching for products that match their interests, while businesses may lose sales because relevant products are not highlighted properly. Many small and medium e-commerce systems also lack modern features such as AI-based customer support, real-time notifications, order tracking, secure payment processing, and a professional admin dashboard. Therefore, there is a need for a customer-focused e-commerce platform that provides a personalized shopping experience, improves customer interaction, and supports efficient online store management.
| Project Information | Status | Batch | Technologies | Action |
|---|---|---|---|---|
|
AI-based Food Exchange Platform
Project Description:
Problem it Solves:
Food businesses like restaurants, hotels, and fo...
|
Active | FA23 (2026) |
MongoDB
Express.js
React
+7
|
Details |
|
DIgital Repository for academic excellence
Problem: Current university portals delete faculty profiles after resignation, and faculty...
|
Active | FA23 (2026) |
MongoDB
Express.js
React
+6
|
Details |
|
Bidstream:Real time Auction platform
Current live selling on social media platforms (like Instagram and TikTok) is unstructured...
|
Active | FA23 (2026) |
MongoDB
Express.js
React
+1
|
Details |
|
AI-Based Mobile Phishing Detection and Security System
Project Overview:
The rapid growth of internet usage through smartphones has increased th...
|
Active | FA23 (2026) |
Flutter
scikit-learn
FastAPI
+4
|
Details |
|
StyleMate: AI-Based OutFit Recommendation System
Users often struggle to choose suitable outfits due to lack of fashion knowledge, time con...
|
Active | FA23 (2026) |
Python
Flutter
Java
+6
|
Details |
|
EatDesi web and mobile app
User Registration & Login
Users can create an account using email/phone.
Users can log i...
|
Active | FA23 (2026) |
JavaScript
PHP
Dart
+5
|
Details |
|
Opti Fit: Total gym control
Traditional gym management relies heavily on manual record-keeping or fragmented digital t...
|
Active | FA23 (2026) |
MongoDB
Express.js
React
+2
|
Details |
|
CareerCartAI: An AI-Powered Unified Career Intelligence & Education Navigation Platform for Pakistani Students and Professionals.
01. Problem Statement
What problem does this project solve?
If you are a student in Pa...
|
Active | FA23 (2026) |
React
FastAPI
Python
+6
|
Details |
|
Customer-Focused E-Commerce Platform
Traditional e-commerce platforms often display the same products to every customer, which ...
|
Active | FA23 (2026) |
MongoDB
Express.js
React
+1
|
Details |
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Customer-Focused E-Commerce Platform
• Store administrators who need to manage products, categories, orders, users, payments, and notifications.
• E-commerce business owners who want to improve customer engagement and increase product visibility.
• Customer support staff or automated support systems that help users with orders, payments, delivery, and FAQs.
Product Catalog, Search and Filtering: The system shall display products by categories, ratings, price range, brands, discounts, and availability, with detailed product pages and user-friendly navigation.
Dynamic Personalized Home Page: The system shall automatically arrange home page products according to customer behavior; new users will see popular and best-rated items, while returning users will see products from preferred categories such as shirts or related fashion items.
Cart, Wishlist and Checkout: The system shall allow customers to add products to cart/wishlist, update quantities, remove items, apply discounts, and complete checkout.
Payment and Order Management: The system shall support online payment gateway integration, cash-on delivery option, order confirmation, order history, invoice generation, and order status tracking.
AI Customer Support Bot: The system shall provide a chatbot that answers common questions related to products, payment, delivery, order status, returns, refunds, and platform usage.
Notification System: The system shall send real-time and email notifications for order placement, payment status, shipment updates, delivery, discounts, back-in-stock products, and admin announcements.
Admin Dashboard and Reports: The system shall allow administrators to manage users, products, categories, orders, payments, reviews, chatbot FAQs, notifications, and view basic analytics such as sales, popular categories, and top-rated products.
- • User Registration and Login
- Customers can create accounts, log in securely, manage their profiles, and view their order history.
- • Personalized Home Page
- The system displays products according to customer activity, such as purchased categories, viewed products, search history, best-rated products, and popular items.
- • Product and Category Management
- Products are organized into multiple categories so customers can browse easily, while the admin can add, update, or delete products and categories.
- • Search and Filter System
- Customers can search products by name, category, price, rating, and other filters to find relevant items quickly.
- • Cart and Checkout System
- Users can add products to cart, update quantities, remove items, and proceed to checkout.
- • Payment Gateway Integration
- The system supports secure online payment methods along with possible options like cash on delivery.
- • AI Customer Support Chatbot
- An AI bot helps customers with common questions related to products, orders, payments, delivery, returns, and FAQs.
- • Notification System
- Users receive notifications about order placement, payment status, shipment updates, delivery, discounts, and important announcements.
- • Reviews and Ratings
- Customers can rate products and write reviews, helping other users make better purchase decisions.
- • Admin Dashboard
- The admin can monitor users, products, orders, payments, reviews, notifications, and overall store activity.
The system should load product pages, home page content, cart, and search results quickly. Personalized products should appear without noticeable delay after user login.
Usability
The application should have a clean, user-friendly, and responsive interface so customers can easily browse products, add items to cart, place orders, and use the AI support bot.
Security
User accounts, passwords, payment details, and order information should be protected using secure authentication, password hashing, JWT-based sessions, and proper backend validation.
Scalability
The system should be designed so that more products, users, categories, orders, and customer activities can be handled in the future without major changes.
Reliability
The platform should work consistently during product browsing, checkout, order placement, notifications, and payment processing. It should handle errors without crashing.
Availability
The web application should remain accessible to users most of the time, especially for login, product browsing, cart, checkout, and order tracking.
Maintainability
The code should be organized into separate frontend, backend, database, authentication, product, order, payment, notification, and chatbot modules so future updates are easy.
Compatibility
The system should work properly on common browsers such as Chrome, Edge, and Firefox, and should support desktop, tablet, and mobile screen sizes.
Data Integrity
Product stock, order records, payment status, user activity, reviews, and notifications should be stored accurately in MongoDB without duplication or loss.
Privacy
Customer personal information, purchase history, preferences, and chatbot conversations should only be accessible to authorized users and system administrators.