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 – Deepfake Image Detection System
Deepfake images are becoming increasingly common due to the rapid advancement of artificial intelligence and image manipulation technologies. These fake images are widely shared on social media platforms, news channels, and online communities, making it difficult for users to distinguish between real and manipulated content. This can lead to misinformation, reputational damage, and loss of trust in digital media. Currently, there is no simple and accessible tool available for common users to verify the authenticity of images. Therefore, there is a need for an automated and intelligent system that can accurately detect deepfake images and help users identify fake content easily.
The Sapient School Management System
Many schools still use manual systems for attendance, fee records, and parent communication, which causes delays, paperwork, and poor management. This project solves these issues by providing a digital school management system.
Smart Fruit and Vegetable Freshness Detection System
Smart Fruits and Vegetable Freshness Detection System 1. Problem Statement Consumers often struggle to accurately identify the freshness of fruits and vegetables at the point of purchase. Shopkeepers may inadvertently or intentionally sel...
Smart nutrition and fitness recommendation
Functional Requirements (What the system should do) The system shall allow users to enter personal information such as name, age, height, and weight. The system shall calculate Body Mass Index (BMI) based on user input. The system shall ...
DermaXpert Ai skincare model
Description: DermaXpert is an advanced AI-powered skincare platform that combines artificial intelligence, telehealth services, and e-commerce into one unified system. Its main goal is to make professional skincare guidance more accessible...
Ai based smart campus gate way system
This project proposes an AI-based smart campus gateway system that automatically marks attendance when a registered user enters or exits the campus. A camera or smart device will be used to recognize the user, and attendance will be recorde...
3D communication plateform
A 3D communication platform lets people meet, talk, and collaborate inside realistic virtual spaces using avatars. It feels like being in the same room — you can walk around, share screens, and interact naturally instead of just staring ...
Cars Services, Detailing, buy and sell website
People face difficulties managing car-related needs because there is no single platform that provides car services, detailing, maintenance tracking, and buying/selling features together. Users often struggle to find trusted sellers and service providers, estimate fair car prices, track vehicle maintenance history, and receive timely service reminders. The traditional car buying and servicing process is time-consuming, less transparent, and lacks smart features for better decision-making. This project aims to develop an integrated web platform that simplifies car management through smart and user-friendly solutions.
Smart Exam Datesheet And Room Allocation System
The Smart Exam Datesheet And RoomAllocation System is an innovative solution designed to streamline the examination process in educational institutions. This system addresses the complexities of exam scheduling and Room allocation, ensuring...
| Project Information | Status | Batch | Technologies | Action |
|---|---|---|---|---|
|
AI – Deepfake Image Detection System
Deepfake images are becoming increasingly common due to the rapid advancement of artificia...
|
Active | FA23 (2026) |
Python
TensorFlow
OpenCV
+5
|
Details |
|
The Sapient School Management System
Many schools still use manual systems for attendance, fee records, and parent communicatio...
|
Active | FA23 (2026) |
JavaScript
HTML/CSS
Bootstrap
+4
|
Details |
|
Smart Fruit and Vegetable Freshness Detection System
Smart Fruits and Vegetable Freshness Detection System
1. Problem Statement
Consumers oft...
|
Active | FA23 (2026) |
React Native
Node.js
Express.js
+1
|
Details |
|
Smart nutrition and fitness recommendation
Functional Requirements (What the system should do)
The system shall allow users to enter...
|
Active | FA23 (2026) |
JavaScript
Java
PHP
+6
|
Details |
|
DermaXpert Ai skincare model
Description:
DermaXpert is an advanced AI-powered skincare platform that combines artific...
|
Active | FA23 (2026) |
TypeScript
JavaScript
HTML/CSS
+1
|
Details |
|
Ai based smart campus gate way system
This project proposes an AI-based smart campus gateway system that automatically marks att...
|
Active | FA23 (2026) |
JavaScript
HTML/CSS
OpenCV
+3
|
Details |
|
3D communication plateform
A 3D communication platform lets people meet, talk, and collaborate inside realistic virtu...
|
Active | FA23 (2026) |
JavaScript
Express.js
MongoDB
+1
|
Details |
|
Cars Services, Detailing, buy and sell website
People face difficulties managing car-related needs because there is no single platform th...
|
Active | FA23 (2026) |
MERN Stack
MongoDB
Node.js
+2
|
Details |
|
Smart Exam Datesheet And Room Allocation System
The Smart Exam Datesheet And RoomAllocation System is an innovative solution designed to s...
|
Active | FA23 (2026) |
MongoDB
Express.js
React
+1
|
Details |
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AI – Deepfake Image Detection System
* Journalists and news agencies
* Students and researchers
* Content creators
* General public concerned about fake content
* The system shall send the uploaded image to the backend server for processing.
* The system shall analyze the image using an AI-based deepfake detection model.
* The system shall classify the image as real or fake (deepfake).
* The system shall display the prediction result along with a confidence score.
* The system shall provide a simple and user-friendly interface for users.
* The system shall handle invalid or unsupported image formats.
* The system shall support communication with backend APIs for real-time processing.
- * AI-based deepfake image detection
- * Real-time image analysis
- * Confidence score display
- *Mobile app interface (Flutter)
- * FastAPI-based backend system
- * Easy image upload (camera/gallery)
- * Secure and efficient processing
- * Optional history tracking (if implemented)
The system should return results within 2–5 seconds.
The system should handle multiple user requests efficiently.
Security:
The system should accept only valid image files.
Data transfer between app and server should be secure.
2. Usability:
The interface should be simple, clean, and easy to use.
Users should be able to upload and view results بسهولة.
3. Scalability:
The system should support cloud deployment.
It should handle increasing number of users.
4. Reliability:
The system should provide consistent and accurate predictions.
Proper error handling should be implemented.