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Browsing Project Report by Subject "Depression"

Browsing Project Report by Subject "Depression"

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  • An Application for Minimizing Depression and Suicidal Attacks Among the People of Bangladesh 
    Rifat, MD. Shakil Khan; Masum, Tuzammal Hossain (Daffodil International University, 23-02-12)
    Depression can cause feelings of sadness, hopelessness, and a lack of energy, and can make it difficult for people to perform daily activities or enjoy life. Depression is a common and debilitating mental health condition ...
  • Depression Analysis From Social Media Bengali Comments Using Machine Learning Techniques 
    Hasan, Mehedi (Daffodil International University, 23-02-18)
    Depression is a major public health concern that can have significant negative impacts on an individual's quality of life. Early detection of depression can be crucial for facilitating timely treatment and improving ...
  • Depression Detection in Social Media Comments Data Using Machine Learning Algorithms 
    Vasha, Zannatun Nayem; Sharma, Bidyut; Esha, Mst. Israt Jahan (Daffodil International University, 23-02-18)
    Nowadays, depression is a common and dangerous mental problem for our society, the country even the whole world. When a person is in a heartbreaking mood or going through an exquisite condition and it is not leaving him, ...
  • Depression Detection of University Students' Using Machine Learning Approach 
    Muntasim, Mst. Fahmida; Ador, MD. Rashedul Haque; Nibir, Tafsirul Islam (Daffodil International University, 23-01-29)
    In modern society, depression affects the majority of people. Many even commit suicide as a result of inadequate care. If depression is present in the patient in the early stages, it is simple to identify and cure. Since ...
  • Depression Level Prediction on Bangladeshi Students 
    Adhikari, Barnali; Era, Syeda Ismatara; Mohamed, Mohamed Dahir (Daffodil International University, 2021-06-02)
    Students are the backbone of a nation. But at present there is a very high rate of depression among the students. As a result, many students are suffering from depression and many are choosing the path of suicide. Our ...
  • A Hybrid Machine Learning Approach To Detect Postpartum Depression (PDB) 
    Mosaraf, MD Parvez; Rabbi, Yasin Khan (Daffodil International University, 23-01-29)
    Postpartum depression, which occurs in the days and weeks following childbirth, can have serious impacts on both mothers and babies. Symptoms of postpartum depression include mood swings, exhaustion, and a sense of ...
  • Identifying Signs of Depression in Today's World Through the Application of Machine Learning Algorithms 
    Rokoni, Sakib; Islam, MD Tariqul (Daffodil International University, 23-02-12)
    Depression is a serious mental disorder that may lead individuals to endure continual fluctuations in mood, in addition to sensations of melancholy. It is possible for people to have these symptoms as a result of it. It ...
  • Impact and Accuracy of Depression Using Machine Learning 
    Niloy, Robayet Hossain; Munna, Mehedi Hasan (Daffodil International University, 23-02-18)
    Increasing public health concerns is the frequency of depression among seniors who expertise depression usually do therefore due to a spread of socio-demographic characteristics, as well as age, sex, income level, the ...
  • Machine Learning Based Depression Detection 
    Islam, Md. Mozahidul; Biswas, Saikat; Sarkar, Utpaul (Daffodil International University, 2022-01-04)
    Depression is a common disorder that causes constant mood swings and feelings of sadness. Nowadays It is considered to be a deadly disorder in the world. At present, everyone from young to old is suffering from depression ...
  • Machine Learning Based Depression Detection 
    Islam, Md. Mozahidul; Biswas, Saikat; Sarkar, Utpaul (Daffodil International University, 2022-01-04)
    Depression is a common disorder that causes constant mood swings and feelings of sadness. Nowadays It is considered to be a deadly disorder in the world. At present, everyone from young to old is suffering from depression ...
  • Machine Learning Techniques for Deleting Human Depression Using Social Media Data 
    Iqbal, Nafis; Jahan, Israt (Daffodil International University, 23-02-12)
    Depression is one of the most serious issue among human civilization in modern time. It is one of the well-known mental health issues in this era. In this paper we worked on this metal health issue known as depression. ...
  • Mental Stress Detection of University Students in Bangladesh Using Machine Learning 
    Firoz, Mehedi (Daffodil International University, 23-02-18)
    These days, there is a huge problem with mental stress, and the problem is particularly widespread among students at educational institutions of higher learning. According to the views that are prevalent now, the historical ...
  • Shielding Pigeon 
    Islam, Tarafder Tarikul; Hossain, Md. Rubaid; Lubna, Mst. Lutfunnahar (Daffodil International University, 2020-05-26)
    About 7.3 million people are suffering from depression, which is an extremely complex disease. No one knows what is the cause exactly, but it can occur for various reasons. In most cases, the remedy comes from sharing ...
  • Tweeter Suicidal Notes Identification Using Adversarial Deep Theory 
    Dhrubo, MD. Mahadi Rahman; Islam, Sadia; Kabir, Mahjabin Binta (Daffodil International University, 2023-01-28)
    Depression is a common mental illness that can interfere with daily activities and productivity. Suicidal thoughts or attempts may result as a result. In today's society, suicide is a major issue. Suicide attempts should ...
  • Web Application Based Tourist Agency System Development 
    Hossen, MD. Shakawath; Barman, Rinku Rani (Daffodil International University, 23-01-29)
    People today suffer from mental and physical depression due to work pressure in the twenty-first century. They require rest, both mentally and physically. Travel is the best for achieving the best state of physical and ...

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