5.
Intermediate Level
Artificial Intelligence Project Ideas:
1.
Sales Forecasting System
2.
AI-Powered Mental Health Monitoring System
3.
Summary AI
4.
Plagiarism Analyzer
5.
Stock Price Prediction System
6.
Face Recognition System
7.
Fraud Detection System
8.
Image Classification System
9.
Object Detection System with TensorFlow
10.
Smart Agriculture System
11.
Facial Emotion Recognition and Detection
System
12.
Predictive Maintenance with Machine
Learning
13.
Hand Gesture Recognition System
Artificial Intelligence
Project Ideas for Beginners:
14.
AI-Powered Chatbot
15.
Handwritten Digit Recognition System
16.
Spam Detection System
17.
Music Recommendation System
18.
Consumer Sentiment Analysis
19.
Movie Recommendation System
20.
Autocorrect Tool
21.
Fake News Detector
22.
Traffic Sign Recognition System
Artificial Intelligence
Projects for Final Year:
23.
AI in Gaming: AI-Driven Non-Player
Character (NPC) Behavior
24.
Autonomous Vehicle Driving System
25.
Personalized Education Platform
26.
AI in Healthcare: Building an AI-Based
Medical Diagnosis System
27.
Real-Time Sports Analysis System
28.
AI Video Surveillance System
29.
Energy Consumption Optimization through
Machine Learning
30.
Autonomous Drone Navigation System
31.
AI in Cybersecurity: Phishing Detection
System
32.
AI-Powered Language Translation Model
33.
AI for Social Good: A Drug Discovery
Project
34.
AI in Astrophysics: Building an Emission
Reduction System
35.
Gesture Recognition & Tracking with
ESP32 Camera & OpenCV || Make Gesture Controlled Mouse
36.
How to do Object Detection using ESP32-CAM
and Edge Impulse YOLO Model
37.
Sign Language Recognition with esp32-cam
using tflite
Key
Features of an AI-Powered School Bus Monitoring System
- Real-Time
GPS Tracking
- AI
algorithms can optimize routes in real-time based on traffic, weather,
and road conditions.
- Parents
and school administrators can track the bus location via a mobile app or
web portal.
- Student
Attendance Tracking
- Use
facial recognition or RFID tags to automatically log students boarding
and exiting the bus.
- Send
notifications to parents when their child boards or leaves the bus.
- Driver
Behavior Monitoring
- AI-powered
cameras can monitor driver behavior, such as speeding, harsh braking, or
distracted driving.
- Provide
real-time alerts to the driver and generate reports for school
authorities.
- In-Bus
Surveillance
- AI-enabled
cameras can monitor student behavior inside the bus to ensure safety and
prevent bullying or misconduct.
- Detect
unusual activities (e.g., a student standing while the bus is moving) and
alert the driver.
- Predictive
Maintenance
- Use
AI to monitor the bus's mechanical condition (e.g., engine health, tire
pressure) and predict maintenance needs to avoid breakdowns.
- Emergency
Alerts
- AI
can detect emergencies (e.g., accidents, breakdowns) and automatically
send alerts to school authorities, parents, and emergency services.
- Route
Optimization
- AI
can analyze historical data to optimize bus routes, reducing fuel
consumption and travel time.
- Weather
and Hazard Detection
- Integrate
weather APIs and AI to detect hazardous conditions (e.g., heavy rain,
fog) and suggest safer routes or delays.
- Parent
Communication
- Provide
real-time updates to parents about bus delays, route changes, or
emergencies via SMS or a mobile app.
- Data
Analytics and Reporting
- Generate
detailed reports on bus performance, driver behavior, and student
attendance for school administrators.
Technologies
Used
- AI
and Machine Learning
- For
facial recognition, behavior analysis, and predictive maintenance.
- Computer
Vision
- To
monitor driver and student behavior using in-bus cameras.
- IoT
Sensors
- For
tracking vehicle health, GPS location, and environmental conditions.
- Cloud
Computing
- To
store and process large amounts of data in real-time.
- Mobile
and Web Applications
- For
parents and administrators to access real-time information.
- RFID
or NFC Technology
- For
automated student attendance tracking.
Implementation
Steps
- Requirement
Analysis
- Identify
the specific needs of the school, parents, and students.
- Hardware
Setup
- Install
GPS devices, AI cameras, IoT sensors, and RFID readers on the bus.
- Software
Development
- Develop
AI algorithms for facial recognition, behavior monitoring, and route
optimization.
- Create
a mobile app and web portal for real-time tracking and communication.
- Integration
- Integrate
all hardware and software components into a unified system.
- Testing
- Test
the system in real-world scenarios to ensure accuracy and reliability.
- Deployment
- Roll
out the system across the school's bus fleet.
- Training
- Train
drivers, school staff, and parents on how to use the system.
- Maintenance
and Updates
- Regularly
update the system with new features and improvements.
Benefits
- Enhanced
Safety:
Real-time monitoring and emergency alerts ensure student safety.
- Improved
Efficiency: Optimized
routes and predictive maintenance reduce costs and delays.
- Transparency: Parents and administrators
have access to real-time information.
- Accountability: Driver behavior monitoring
ensures compliance with safety standards.
Challenges
- Privacy
Concerns:
Facial recognition and surveillance may raise privacy issues.
- Cost: Initial setup and
maintenance costs can be high.
- Technical
Issues:
Dependence on technology may lead to vulnerabilities (e.g., system
failures, hacking).
By
leveraging AI technology, a school bus monitoring system can create a safer,
more efficient, and transparent transportation experience for students,
parents, and schools.
