Project Proposal Writing with Artificial Intelligence
Course Objectives
This training aims to understand the integration of AI into project writing processes, to learn AI-supported data analysis and documentation techniques, and to teach how AI can be utilized in project proposal and reporting processes. Participants will experience how they can use AI-based tools to speed up project writing and improve its quality.

Duration of Education: 3 Hours
Education Detail
1. Use of Artificial Intelligence in Project Writing Processes
; Development of project ideas with artificial intelligence
; AI-assisted literature scan and data analysis
; Real Life Example: Reporting systems supported by AI in European Union projects
2. Resource and Data Acquisition with Artificial Intelligence
; Big data analytics and AI-based research methods
; Automatic data extraction and classification tools
; Real Life Example: Google Scholar and AI-supported reference management
3. Filling out Project Application Forms with AI
; AI-supported text creation tools
; Language and content optimization in project applications
; Real Life Example: AI use in Horizon Europe applications
4. Effective Project Reporting with Artificial Intelligence
; Data visualization and report creation with AI
; Artificial intelligence-assisted content analysis and summary
; Real Life Example: Project tracking with AI-based automated summation systems
5. AI Assisted Project Risk and Feasibility Analysis
; AI use for risk management and data analysis
; Automating project feasibility reports
; Real Life Example: Risk prediction with AI in large-scale R&D projects
6. Artificial Intelligence Supported Stakeholder and Collaboration Management
; Stakeholder analysis with AI and finding project partners
; Automatic communication and collaboration tools
; Real Life Example: AI-assisted stakeholder management in international projects
7. Language and Format Optimization in Project Writing with AI
; Artificial intelligence-supported language control and text editing
; Making project writing formats conform to standards with AI
; Real Life Example: Academic spelling optimization with Grammarly and similar tools
8. Project Writing with Artificial Intelligence in the Future
; New trends of artificial intelligence in project writing
; Accelerate the project cycle with AI and increase efficiency
; Real Life Example: The impact of autonomous software systems on project development processes
9. Conclusion and Evaluation
; Questions and answers
; Participant feedback
; Resources for next steps and advanced training
Educator: Dr. Teach. Şeyma BOZKURT UZAN
Dr. Teach. Şeyma Bozkurt Uzan is a professor in Software Engineering at Istanbul Beykent University and specializes in artificial intelligence, data science, digital transformation, multi-criteria decision making and operations research.
He has been a visiting lecturer at the Rochester Institute of Technology, and has been involved in a number of international research, including European Union projects.
While developing sustainable agricultural solutions with his projects on vertical agriculture and artificial intelligence integration, DeepTech aims to provide young generations with competence in the fields of advanced technology with its educational projects. Addressing artificial intelligence and decision making processes "From Past to Present: Philosophical Reflections on AI with a SWOT Approach", studying research in mathematics and artificial intelligence "Bibliometric Analysis of Math and Artificial Intelligence Research", and evaluating multi-criteria decision-making techniques in supply chain management "Analysis of Supplier Selection Process with Multi-Criteria Decision Making Techniques" There are such important articles.
Having signed numerous academic papers, books, and project works, she continues to work actively in the fields of technology, artificial intelligence, and education.
Please contact for detailed information.
Gökhan EROL
e: gerol@inovakademi.com
g: +90 (533) 761 19 34
t: +90 (216) 709 73 32
