First Project Presentation

[saidhanush4422]

BURB Phase-1

During this presentation we have submitted quite a few research papers and made a clear analysis of the project. Here. T.Praveen Sir pointed out some mistakes and we resolved those later on.

Comments given on 1st Presentation

• Gaps should be related to Literature Survey
• Developing data is not an Objective.
• Problem Statement should be about what you want to do?
• level of Depression.
• Recommendation system Algorithm - Collaborative Filtering.
• Define dataset.
• System architecture & Components
• Flow diagrams
• DFD's
• no need of deployment diagram
• sequence or collaborative diagram

References

1. https://data-flair.training/blogs/create-emoji-with-deep-learning/
2. https://arxiv.org/pdf/2008.05110.pdf
3. https://github.com/topics/song-recommender
4. https://www2.psych.ubc.ca/~schaller/LehmanChiuSchaller2004.pdf
5. https://www.who.int/news-room/fact-sheets/detail/mental-disorders
6. https://www.google.co.in/books/edition/_/xr7hamRLTr0C?hl=en&gbpv=1&pg=PR5&dq=psychology
7. https://www.google.co.in/books/edition/Care_giving_in_Dementia/X6If9Vk95SsC?hl=en&gbpv=1&dq=psychology&pg=PA67&printsec=frontcover
8. https://link.springer.com/article/10.1007/s00146-021-01322-w
9. https://dl.acm.org/doi/10.1145/3313831.3376879
10. https://memlab.yale.edu/sites/default/files/files/2016_Chekroud_etal_Lancet(1).pdf
11. https://www.researchgate.net/profile/Sarah-Sheikh/publication/341318329_Finding_Behavioural_and_Imaging_Biomarkers_of_Major_Depressive_Disorder_MDD_using_Artificial_Intelligence_A_Review/links/5f4238e3458515b72946d646/Finding-Behavioural-and-Imaging-Biomarkers-of-Major-Depressive-Disorder-MDD-using-Artificial-Intelligence-A-Review.pdf
12. https://arxiv.org/pdf/1709.05865;Depression
13. https://www.researchgate.net/profile/Sarah-Sheikh/publication/341318329_Finding_Behavioural_and_Imaging_Biomarkers_of_Major_Depressive_Disorder_MDD_using_Artificial_Intelligence_A_Review/links/5f4238e3458515b72946d646/Finding-Behavioural-and-Imaging-Biomarkers-of-Major-Depressive-Disorder-MDD-using-Artificial-Intelligence-A-Review.pdf
14. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111060/
15. https://www.nature.com/articles/s41598-020-72289-9
16. https://www.researchgate.net/profile/Faisal-Shah-8/publication/342243792_Early_Depression_Detection_from_Social_Network_Using_Deep_Learning_Techniques/links/5f3ec5bea6fdcccc43db7d61/Early-Depression-Detection-from-Social-Network-Using-Deep-Learning-Techniques.pdf
17. https://docs.google.com/document/d/1HmFH-mtKNSBBCVrpPbn5aYz9EwB_I88CEJ5AL9lDHtQ/edit?usp=sharing
18. https://www.researchgate.net/publication/259948193_Predicting_Depression_via_Social_Media
19. https://www.apa.org/depression-guideline/assessment
20. https://jamanetwork.com/journals/jamapsychiatry/article-abstract/487993
21. https://dl.acm.org/doi/abs/10.1145/3313831.3376879
22. https://github.com/Dhruba59/Music-recommendation-based-on-facial-emotion-recognition

https://github.com/saidhanush4422/Helium-3/tree/main/First%20Draft