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- Vol. 5 Issue 6
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AI-Powered Note-Taking System: A Local Machine Learning Approach DeepSeek R1 Integration
Authors
1 Associate professor Department of Computer Science and Engineering, Rajarajeswari College of Engineering, Bangalore, Karnataka, India. 2 3 4 5 Department of Computer Science and Engineering, Rajarajeswari College of Engineering, Bangalore, Karnataka, India.
Article Information
- Published In
- Volume 5, Issue 6 (2025)
- Published Online
- November-December 2025
- Pages
- 178-189
- Article Type
- Original Article
- Check for updates
-
References
1. H. Nayak, "AI Notes - Powered by DeepSeek," GitHub Repository, 2025. [Online]. Available: https://github.com/Harshith29124/AI-Notes-App
2. IEEE Standards Association, "IEEE Paper Format Guidelines," IEEE Manuscript Templates, 2025. [Online]. Available: https://www.ieee.org/conferences/publishing/templates
3. Guo et al., "DeepSeek-R1: Incentivizing Reasoning Capability in LLMs," arXiv preprint arXiv:2501.12948, 2025.
4. DeepSeek AI, "DeepSeek-R1 Model Documentation," Hugging Face, 2025. [Online]. Available: https://huggingface.co/deepseek-ai/DeepSeek-R1
5. Ollama Team, "Ollama: Local LLM Framework," 2025. [Online]. Available: https://ollama.com
6. Microsoft Azure Team, "Performance Analysis of DeepSeek R1 AI Inference using vLLM," Azure High Performance Computing Blog, Aug. 2025.
7. MultiModal AI, "The Complete Guide to Ollama: Local LLM Inference," Substack, Oct. 2025.
8. GeeksforGeeks, "Ollama Explained: Transforming AI Accessibility and Language Processing," June 2024.
9. ML Conference, "Ollama and Large Language Models," MLConference.ai Blog, Oct. 2020.
10. Fireworks AI, "DeepSeek-R1 Overview: Features, Capabilities, Parameters," Fireworks Blog, Sept. 2025.
11. Skywork AI, "What is Ollama? Complete Guide to Local AI Models 2025," Skywork Blog, Oct. 2025.
12. DataCamp, "DeepSeek-R1: Features, o1 Comparison, Distilled Models," DataCamp Blog, June 2025.
13. Mozilla Developer Network, "Web Storage API," MDN Web Docs, 2024.
14. World Wide Web Consortium, "CSS Grid Layout Module Level 1," W3C Recommendation, 2023.
15. Smith et al., "Privacy-Preserving AI Applications: A Survey," IEEE Transactions on Information Forensics and Security, vol. 18, pp. 2847-2862, 2023.
16. Johnson and C. Williams, "Local Machine Learning Frameworks: Performance Analysis," ACM Computing Surveys, vol. 55, no. 3, pp. 1-35, 2023.
17. Davis et al., "User Experience in AI-Powered Productivity Tools," IEEE Computer, vol. 56, no. 4, pp. 23-31, 2023.
18. Rodriguez and F. Chen, "Resource Optimization in Client-Side AI Applications," IEEE Software, vol. 40, no. 2, pp. 45-53, 2023.
19. G. Kumar et al., "Privacy-by-Design in AI Applications: A Framework," ACM Transactions on Privacy and Security, vol. 26, no. 2, pp. 1-28, 2023.
20. J. Anderson and K. Wilson, "Comparative Analysis of Local vs. Cloud AI Processing," IEEE Cloud Computing, vol. 10, no. 3, pp. 34-42, 2023.
2. IEEE Standards Association, "IEEE Paper Format Guidelines," IEEE Manuscript Templates, 2025. [Online]. Available: https://www.ieee.org/conferences/publishing/templates
3. Guo et al., "DeepSeek-R1: Incentivizing Reasoning Capability in LLMs," arXiv preprint arXiv:2501.12948, 2025.
4. DeepSeek AI, "DeepSeek-R1 Model Documentation," Hugging Face, 2025. [Online]. Available: https://huggingface.co/deepseek-ai/DeepSeek-R1
5. Ollama Team, "Ollama: Local LLM Framework," 2025. [Online]. Available: https://ollama.com
6. Microsoft Azure Team, "Performance Analysis of DeepSeek R1 AI Inference using vLLM," Azure High Performance Computing Blog, Aug. 2025.
7. MultiModal AI, "The Complete Guide to Ollama: Local LLM Inference," Substack, Oct. 2025.
8. GeeksforGeeks, "Ollama Explained: Transforming AI Accessibility and Language Processing," June 2024.
9. ML Conference, "Ollama and Large Language Models," MLConference.ai Blog, Oct. 2020.
10. Fireworks AI, "DeepSeek-R1 Overview: Features, Capabilities, Parameters," Fireworks Blog, Sept. 2025.
11. Skywork AI, "What is Ollama? Complete Guide to Local AI Models 2025," Skywork Blog, Oct. 2025.
12. DataCamp, "DeepSeek-R1: Features, o1 Comparison, Distilled Models," DataCamp Blog, June 2025.
13. Mozilla Developer Network, "Web Storage API," MDN Web Docs, 2024.
14. World Wide Web Consortium, "CSS Grid Layout Module Level 1," W3C Recommendation, 2023.
15. Smith et al., "Privacy-Preserving AI Applications: A Survey," IEEE Transactions on Information Forensics and Security, vol. 18, pp. 2847-2862, 2023.
16. Johnson and C. Williams, "Local Machine Learning Frameworks: Performance Analysis," ACM Computing Surveys, vol. 55, no. 3, pp. 1-35, 2023.
17. Davis et al., "User Experience in AI-Powered Productivity Tools," IEEE Computer, vol. 56, no. 4, pp. 23-31, 2023.
18. Rodriguez and F. Chen, "Resource Optimization in Client-Side AI Applications," IEEE Software, vol. 40, no. 2, pp. 45-53, 2023.
19. G. Kumar et al., "Privacy-by-Design in AI Applications: A Framework," ACM Transactions on Privacy and Security, vol. 26, no. 2, pp. 1-28, 2023.
20. J. Anderson and K. Wilson, "Comparative Analysis of Local vs. Cloud AI Processing," IEEE Cloud Computing, vol. 10, no. 3, pp. 34-42, 2023.
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