SYSTEM REQUIREMENTS
Software Requirements
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Hardware Requirements
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Microsoft Windows 10.
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Intel Core i5 8th gen processor later.
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Python 3.6 or above.
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1000Mb Min Disk Space.
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OpenCv, PyQt5, Tkinter Module, Sys.
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Minimum 2Gb RAM.
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Deep learning, Neural Network, TensorFlow Framework.
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Webcam with Good Resolution.
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Artificial Intelligence.
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EXPECTED IMPLEMENTATION METHOD
It should be in single paragraph.
It should contain block diagram or use-case diagram or data-flow diagram.
EXPECTED NEW APPLICATIONS
It should in points.
It should contain few points on expected new applications of your project.
CONCLUSION
It should be in single paragraph (up to 100-200 words).
It should contain how your project will be better than existing one.
REFERENCES
[1] Hai, P. T., Thinh, H. C., Van Phuc, B., & Kha, H. H. (2018). Automatic feature extraction for Vietnamese sign language recognition using support vector machine. 2018 2nd International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom).
[2] Rahat Yasir, Riasat Azim Khan, “Two Handed Hand Gesture Recognition for Bangla Sign Language using LDA and ANN”, The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014).
[3] L. Kau, W. Su, P. Yu and S. Wei, "A real-time portable sign language translation system," 2015 IEEE 58th International Midwest Symposium on Circuits and Systems (MWSCAS), Fort Collins, CO, 2015, pp. 1-4, doi: 10.1109/MWSCAS.2015.7282137.
[4] M. Mahesh, A. Jayaprakash and M. Geetha, "Sign language translator for mobile platforms," 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Udupi, 2017, pp. 1176-1181, doi: 10.1109/ICACCI.2017.8126001.
[5] D. Kelly, J. Mc Donald and C. Markham, "Weakly Supervised Training of a Sign Language Recognition System Using Multiple Instance Learning Density Matrices," in IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol. 41, no. 2, pp. 526-541, April 2011, doi: 10.1109/TSMCB.2010.2065802.
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