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 job matching portal real life problem
Description An AI-Based Job Matching Portal is a smart web platform that connects job seekers with relevant job opportunities using Artificial Intelligence. Unlike traditional job platforms such as LinkedIn and Indeed, this system analyzes...
House Bidding System
Project Description: House Bidding System (Mobile App) 1. Problem it solves: In traditional property buying, people have to contact agents, visit multiple locations, and negotiate prices manually. This process is time-consuming, less tr...
predictive health care and recommendation system
Project Description - Problem Solved*: The healthcare system lacks an integrated AI‑powered platform that addresses: - Patients’ difficulty in accessing reliable medical consultation, especially in emergencies or off‑hours. ...
Siege of Drones (An Arcade game)
Current arcade shooters on Windows PC often suffer from repetitive gameplay due to static enemy spawning and "aim-bot" style AI that lacks realistic physics. Most survival games are confined to a horizontal plane, failing to challenge the player's 3D spatial awareness or strategic maneuvering. There is a clear need for a more dynamic aerial combat experience where enemy difficulty and vertical positioning adapt to the player's skill level.
Smart agriculture monitoring system
# Project Description The Smart Agriculture Monitoring System is a technology-based solution designed to help farmers monitor and manage their agricultural fields using sensors, automation, and data analysis. Traditional farming often re...
AI-based resume screening system
Here is the detail. Include: An AI-based system designed to automate resume screening for companies receiving large volumes of applications. The system uses NLP techniques to extract skills and relevant information from resumes and match...
Farm To Home (Organic Grocery Store)
The Farm To Home system is a web-based application designed to connect farmers directly with consumers, enabling the delivery of fresh and organic agricultural products without the involvement of middlemen. The platform allows users to brow...
Learnify – Smart Learning System
This project solves several key problems in traditional and existing e-learning systems. The main issue is the lack of personalized learning, where all students receive the same content regardless of their understanding level. This makes it difficult for weaker students to keep up and for stronger students to stay challenged. Another major problem is the manual workload for teachers, especially in creating quizzes, assignments, and evaluating student performance. This process is time-consuming and often inconsistent. The project also addresses the issue of delayed feedback, where students do not get immediate results or explanations for their mistakes, which slows down learning progress. In addition, many systems lack effective performance tracking and prediction, making it difficult to identify student strengths and weaknesses over time. Learnify solves these issues by introducing an AI-based system that automates quiz generation and evaluation, provides instant feedback, tracks student progress, and offers personalized learning recommendations. It also includes an AI assistant to help students resolve their doubts instantly, improving accessibility and engagement in learning.
Ai based career mismatch and unemployment prediction system
Idea: The idea of this project is to develop an intelligent system that uses Ai to analyze a user’s education, skills, interests, and experience, and then determine whether they are in the right career path or facing a career mismatch. Th...
| Project Information | Status | Batch | Technologies | Action |
|---|---|---|---|---|
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Ai based job matching portal real life problem
Description
An AI-Based Job Matching Portal is a smart web platform that connects job see...
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Active | FA23 (2026) |
|
Details |
|
House Bidding System
Project Description: House Bidding System (Mobile App)
1. Problem it solves:
In tradit...
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Active | FA23 (2026) |
Flutter
Firebase
|
Details |
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predictive health care and recommendation system
Project Description
- Problem Solved*: The healthcare system lacks an integrated
AI...
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Active | FA23 (2026) |
Flutter
Firebase
React Native
|
Details |
|
Siege of Drones (An Arcade game)
Current arcade shooters on Windows PC often suffer from repetitive gameplay due to static ...
|
Active | FA23 (2026) |
Python
|
Details |
|
Smart agriculture monitoring system
# Project Description
The Smart Agriculture Monitoring System is a technology-based sol...
|
Active | FA23 (2026) |
Python
SQL
C++
+4
|
Details |
|
AI-based resume screening system
Here is the detail. Include:
An AI-based system designed to automate resume screening f...
|
Active | FA23 (2026) |
Python
JavaScript
React
+16
|
Details |
|
Farm To Home (Organic Grocery Store)
The Farm To Home system is a web-based application designed to connect farmers directly wi...
|
Active | FA23 (2026) |
|
Details |
|
Learnify – Smart Learning System
This project solves several key problems in traditional and existing e-learning systems. T...
|
Active | FA23 (2026) |
HTML/CSS
JavaScript
Python
+4
|
Details |
|
Ai based career mismatch and unemployment prediction system
Idea:
The idea of this project is to develop an intelligent system that uses Ai to analyz...
|
Active | FA23 (2026) |
HTML/CSS
Bootstrap
JavaScript
|
Details |
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Learnify – Smart Learning System
Another major problem is the manual workload for teachers, especially in creating quizzes, assignments, and evaluating student performance. This process is time-consuming and often inconsistent.
The project also addresses the issue of delayed feedback, where students do not get immediate results or explanations for their mistakes, which slows down learning progress. In addition, many systems lack effective performance tracking and prediction, making it difficult to identify student strengths and weaknesses over time.
Learnify solves these issues by introducing an AI-based system that automates quiz generation and evaluation, provides instant feedback, tracks student progress, and offers personalized learning recommendations. It also includes an AI assistant to help students resolve their doubts instantly, improving accessibility and engagement in learning.
Students are the main users of the system. They will use it to take quizzes, receive instant feedback, track their progress, and get personalized learning support through AI.
Teachers will use the system to create quizzes automatically, evaluate student performance, and monitor learning progress through dashboards. This reduces their manual workload and saves time.
Other beneficiaries include educational institutions (schools and universities), which can use this system to improve the quality of education and make the learning process more efficient.
Benefits
Students benefit from personalized learning and quick feedback, teachers benefit from automation of quizzes and grading, and institutions benefit from improved teaching efficiency and better academic performance tracking.
•Course and Multimedia Content Management: An administrative module for instructors to upload, categorize, and organize various learning materials including PDF documents, video lectures, and interactive quizzes.
•AI-Driven Recommendation Engine: A core module that utilizes machine learning to suggest relevant study materials and topics based on a student's previous assessment results and interaction history.
•Adaptive Quiz and Assessment Module: An automated testing system that evaluates student knowledge and stores results to update the learner's profile and recommendation logic.
•Instructor Analytics Dashboard: A visual reporting tool using data visualization libraries to show student progress, highlight weak areas at a class level, and predict potential failures.
•Student Progress Tracking: A personalized dashboard for learners to monitor their own performance metrics, completed modules, and upcoming recommended tasks.
•Automated Notification System: A real-time alert module that notifies users of new content uploads, upcoming deadlines, and specific AI-generated learning suggestions.
•Secure Data Storage and Retrieval: A robust database management system to handle the high-volume storage of user profiles, learning logs, and academic records.
Machine Learning Model Integration:The system shall use trained ML models to analyze student performance data and generate predictions about future outcomes and weak areas.
- AI-Based Quiz Generation – Automatically creates quizzes from learning content using AI.
- Auto Evaluation System – Instantly checks and evaluates student answers.
- Personalized Learning Recommendations – Suggests study material based on student performance.
- Student Performance Tracking – Monitors and records progress over time.
- Performance Prediction – Uses AI to predict future results and identify weak areas.
- AI Doubt Assistant – Provides instant answers to student questions using AI chatbot.
- User Authentication System – Secure login and role-based access for students and teachers.
- Teacher Dashboard – Allows teachers to manage quizzes and view student analytics.
- Real-Time Feedback – Provides instant results and feedback after quizzes.
- User-Friendly Interface – Simple and easy-to-use design for all users.
The system shall provide fast response time for all user actions, including login, quiz generation, and result display.
Quiz evaluation and result generation shall be completed in real-time or within a few seconds.
The system shall efficiently handle multiple users simultaneously without performance degradation.
2. Security Requirements
The system shall implement secure user authentication and authorization for all users.
Passwords shall be stored in encrypted form to ensure data protection.
The system shall protect user data from unauthorized access using secure database practices and API security.
Secure communication (e.g., HTTPS) shall be used to protect data transmission.
3. Usability Requirements
The system shall have a simple, clean, and user-friendly interface suitable for students and teachers.
Navigation shall be intuitive so users can easily access quizzes, results, and dashboards.
The system shall require minimal training for new users.
4. Scalability Requirements
The system shall be scalable to support an increasing number of users, quizzes, and data without affecting performance.
The architecture shall allow future expansion of AI features and additional modules.
5. Reliability & Availability
The system shall ensure high availability with minimal downtime.
Data shall be regularly stored and backed up to prevent loss.