AI Projects For Engineering Students along with project ideas and topics are listed in this page. The model, execution and implementation of AI systems in practical life implementations are often incorporated in performing AI engineering projects. Including the intelligence in data science and machine learning, impactful training on software engineering is typically demanded by such types of projects. Encompassing the diverse difficulty phases and application areas, we provide some project ideas on AI engineering that can be suitable for compelling projects:

  1. Predictive Maintenance:
  • Main Goal: In order to obstruct unexpected failures, we should provide efficient support at the appropriate time by forecasting the breakdowns or failures of machines.
  • Execution: Along with breakdown data, past records must be gathered on machine functions. Depending on machine activities and performance metrics, miscarriages are supposed to be estimated by training a framework.
  1. Personalized Content Delivery Platform:
  • Main Goal: On the basis of their searching activities, it is required to customize the concept through configuring an effective platform.
  • Execution: As a means to train a recommendation system, we must take advantage of user behavioral data. To offer practical concept proposals, a recommendation system should be executed in a mobile app or website.
  1. Real-time Anomaly Detection in Network Traffic:
  • Main Goal: Considering the network traffic, abnormal patterns which reflect security assaults must be identified.
  • Execution: Network traffic data needs to be accumulated and preprocessed. In real-time, identify the outliers by using methods of unsupervised learning.
  1. Automated Customer Support System:
  • Main Goal: To automatically manage the queries or doubts of regular consumers, we aim to model an advanced AI system.
  • Execution: Execute NLP platforms or libraries to develop a chatbot. Through the adoption of past records of consumer communication, we have to train the bot and with consumer support environments, synthesize it in an effective manner.
  1. Image Recognition for Quality Control:
  • Main Goal: Regarding the investigation of fabricated products for recognizing faults, the process must be automated effectively.
  • Execution: Acquire images on products by using a camera. To identify faults and synthesize the system with the manufacturing chain, a deep learning framework ought to be trained efficiently.
  1. Optimized Supply Chain Management:
  • Main Goal: By means of AI, we intend to enhance the stocks, conveyance and demands.
  • Execution: For forecasting the requirements, handling the stocks and enhancing the conveyance paths, past records of supply chain data should be utilized.
  1. AI-powered OCR System:
  • Main Goal: From digital copies or images, it is approachable to derive text and concentrate on capability for further exploration.
  • Execution: Including the NLP (Natural Language Processing) methods for deriving, operating and categorizing the text from reports, OCR (Optical Character Recognition) libraries are supposed to be deployed.
  1. Energy Consumption Optimizer:
  • Main Goal: As we reflect on industries or constructions, usage of energy is meant to be anticipated and reduced.
  • Execution: Focusing on buildings, significant data has to be gathered from sensors. To anticipate energy usage patterns and suggest developments, we can apply time-series prediction or regression frameworks.
  1. Voice-activated Smart Home System:
  • Main Goal: Make use of our voice commands to regulate the smart home devices.
  • Execution: Operate the voice commands and communicate with smart home devices through synthesizing the voice recognition environments or libraries.
  1. Automated Resume Matcher for Job Recruitment:
  • Main Goal: In an automatic manner, we need to coordinate job candidates in accordance with occupational profiles.
  • Execution: Especially from resumes, derive the academic qualifications and expertise with the aid of NLP methods. On the basis of how candidates align with the job specifications effectively, we intend to classify them in an appropriate way.
  1. Traffic Prediction and Routing:
  • Main Goal: Emphasize on forecasting the traffic jams. Specifically for drivers, the best routes should be suggested by us.
  • Execution: Empirical traffic data and past records have to be accumulated. To forecast the traffic, we must train frameworks. For offering suggestions on routes, mapping services are required to be involved in this framework.

It could be advisable to assure the adaptability of the solution, preserve the data secrecy and safety and comply with optimal approaches in software engineering, while dealing with the projects on AI engineering. The significance and efficiency of the AI solution can be improved significantly through interpreting the particular field of application, in addition to this. 

Artificial Intelligence Engineering Projects Topic & Ideas List

Artificial Intelligence Engineering Projects Topic & Ideas List  which are very innovative and used by scholars are listed down, contact us if you need best project assistance.

  1. Imperative Role of Artificial Intelligence and Big Data in Finance and Banking Sector
  2. A Review of use of Artificial Intelligence on Cyber Security and the Fifth-Generation Cyber-attacks and its analysis
  3. Artificial Intelligence-Based Algorithm for Resources Allocation
  4. The Technical and Major Difficulties and Risk involved in Integrating the Artificial Intelligence with Cyber Security system: A systematic study
  5. An interdisciplinary laboratory for teaching manufacturing and artificial intelligence
  6. AIMCS: An Artificial Intelligence based Method for Compression of Short Strings
  7. Artificial intelligence based TNEP. Part 2: Case studies
  8. Applying artificial intelligence theory to helicopter SAF simulation based on HLA/RTI. 2
  9. Influence of the Development of VR Technology on Enterprise Human Resource Management in the Era of Artificial Intelligence
  10. The adoption of Artificial Intelligence technologies in the era of “grey tsunami”: prospects and challenges
  11. The Artificial Intelligence in Personal Knowledge Management
  12. IEEE Standard for Performance and Safety Evaluation of Artificial Intelligence Based Medical Devices: Terminology
  13. Nanowires Based Artificial Synaptic Networks for Building Neuromorphic Artificial Intelligence
  14. Research on the Development Trend of China’s Key Core Technologies of Artificial Intelligence Based on the Technology Life Cycle
  15. A Comprehensive Study on the Impact of Artificial Intelligence in Autonomous Vehicles
  16. A Review of Artificial Intelligence Applications to Achieve Water-related Sustainable Development Goals
  17. Artificial Intelligence based Indian Sign Language Recognition with Accelerated Performance under HPC Environment
  18. Integrating artificial intelligence, argumentation and game theory to develop an online dispute resolution environment
  19. Studies on CAD Systems with Artificial Intelligence
  20. A Data Mining Analysis of Cognitive Science and Artificial Intelligence