Project Report: Recent submissions

  • An Android Based Mobile Application for Smart Counselling System Submitted 
    Rahman, Tashrif; Silve, Humayra Rahman (Daffodil International University, 23-01-29)
    The title of our project is "AN ANDROID BASED MOBILE APPLICATION FOR SMART COUNSELLING SYSTEM”. We named this in this program, our primary goal was to secure appointments from university or college faculty members. Students ...
  • Customer Data Analysis in E-Commerce Using Machine Learning 
    Rahib, MD Abdullah Al; Saha, Nirjhor; Mia, Raju (Daffodil International University, 23-01-29)
    In this project we want to develop a feature where admin can analyze customers data and predict what customers will need and do next in order to optimize offers. It also helps the e-commerce company to reach their target ...
  • An Advance Data Mining Approach on Gaming Addiction of Teen Age in Modern Era 
    Shobuz, Haresur Rahman; Shanto, Faisal Mahamud; Rahat, Rakib Ahsan (Daffodil International University, 23-01-29)
    Addiction is a complex condition characterized by the compulsive use of a substance or engagement in a behavior despite negative consequences. Determining addiction involves assessing an individual's patterns of substance ...
  • Tuition Teacher 
    Hridoy, Md. Rashedur Rahman; Zahan, Kazi Israt (Daffodil International University, 23-01-29)
    This project is an "E-learning Platform" that is web-based. People may easily acquire any course through our system at the lowest price, and we also place a strong emphasis on the quality of the course material. The system ...
  • Detection and Classification of Road Damage Using Deep Learning Approach With Smart Phone Images 
    Shila, Sharmin; Bayshakhy, Fahima Taher; Mitu, Sumaia Zannat (Daffodil International University, 23-01-29)
    In cities, road surface monitoring is mostly done by hand which is a time-consuming and labor-intensive procedure. One of the most critical responsibilities is infrastructure maintenance work for traffic safety. To keep ...
  • Face Emotion Detection Comparative Study Using Deep Learning 
    Ferdous, MD. Zannatul; Nishat, Mst. Umme; Hride, Raddia Akter (Daffodil International University, 23-01-29)
    People usually express their feelings and communicate with each other through facial emotion. Through face emotion detection we can easily understand the language of a person’s mind. Generally, face emotion detection is ...
  • 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 ...
  • Sentiment Analysis of Movie Reviews Using Machine Learning Techniques 
    Piash, Abir Hasan; Antora, Afia Jannat (Daffodil International University, 2023-01-28)
    Movie reviews assist viewers in determining whether a film is worth their time. Sentiment analysis is the procedure of investigating digital text to calculate whether the emotional tone of a word is favorable, unfavorable, ...
  • Design and Development of a Mobile Application for Children Education Using Machine Learning 
    Ahmed, Sarwar (Daffodil International University, 2023-01-28)
    The purpose of this project is to demonstrate how any type of fruit, vegetable, or animal can be rapidly clarified, illustrated, and given a suggested sentence that goes along with it. Children can use a straightforward ...
  • Implementation of an Improved CNN Model for Detection and Prevention of Plant Diseases Using Deep Learning in Agriculture 
    Rahman, MD Mahfuzur; Mehadi, MD Zahirul Islam; Badhon, Arko Roy (Daffodil International University, 2023-01-28)
    Plant growth is a crucial requirement for framers since it provides a pathway for their livelihood. Plant damage and growth are correlated with one another. Healthy crop cultivation is a priority for framers. It has long ...
  • Student Adaptability Level Prediction in Online Education During COVID-19 Using Machine Learning Techniques 
    Sonia, Mst.; Mozu, Muhammad Osiur Rahman (Daffodil International University, 2023-01-29)
    Distance learning (DL) is a method of instruction that makes use of technological advancements to allow for indirect connections between students and teachers who are separated by physical distance. Since COVID-19 swept ...
  • A Web-Based Virtual Science Lab Experiments for School and College Students 
    Das, Sajan Robi; Nagary, Kazi Aahala (Daffodil International University, 23-01-29)
    We all know Bangladesh is developing country. So the educational sector also developing day by day. There are lot of school and college in our country which is not fully equipped with laboratory. In our project the virtual ...
  • JAACAI: Self-testing Quiz platform 
    Datta, Pritam; Ripon, Tanmoy Dhar; Das, Prodip (Daffodil International University, 23-01-29)
    Online schooling is becoming increasingly popular. E-learning is becoming increasingly popular. Because it saves us time and reduces our stress. "JAACAI" is a website where online exams are taken. where teacher's construct ...
  • An Artificial Intelligence Approach To Detect Hate Speech From Bangla Sentence 
    Islam, Md. Shimul; Kabir, Rejoyana; Islam, Fahima (Daffodil International University, 23-01-29)
    The kind of speech that occurs on the internet is intended to target a person or group on the basis of their religion, ethnicity, gender, disability, or even the color of their skin. Facebook and YouTube are two of the ...
  • Sentiment Analysis on Bangla and Phonetic Bangla Reviews: A Product Rating Procedure using NLP and Machine Learning 
    Mukit, Mohammad; Rabbi, Md. Moshiul Huq; Ahmed, Mohammad Masud (Daffodil International University, 23-01-29)
    The e-commerce industry has expanded quickly in recent years. Online commerce become more well-liked during the reign of Covid. However, maintaining product quality and customer pleasure are significant obstacles for ...
  • Development of an Android Application Save Lives 
    Mahmud, Adil; Anjuman, Aysha Akter (Daffodil International University, 23-01-29)
    The project “Save Lives” is a healthcare application system which approach a service care system from doctors to patients. It’s an android based application where patients can communicated with the doctors virtually where ...
  • Customer Satisfaction Sentiment Analysis for Online Transactions in Bangladesh by Using Machine Learning 
    Ahmed, Raju (Daffodil International University, 23-01-29)
    Online transactions have become increasingly popular in Bangladesh, with more and more people turning to the internet to shop, pay bills, and conduct other financial transactions. However, it is important to understand the ...
  • Gaming Coinshop 
    Afrin, Abruna; Noor, Sium Bin (Daffodil International University, 23-01-29)
    This is a full documentation of our e-commerce website called “GAMING COINSHOP”. There is no such website available in our country which uses the local mobile banking system to purchase gaming materials. For the last 15 ...
  • Safe Baby: An Android App to Provide Caregiver for Child to Parents 
    Nahiduzzaman, Md.; Islam, Kazi Maharaf; Mursaline, Md. Nahid (23-01-18)
    The Android-based "Safe Baby: An Android App to Provide Caregiver for Child to Parents" application. This software assists users (parents) in finding nearby babysitters and enables babysitters to be on a platform which ...
  • Stock Market Prediction of Bangladesh Using Multivariate LSTM with Sentiment Identification 
    Islam, Md. Ashraful; Sikder, Md. Rana; Ishtiaq, Sayed Mohammed (Daffodil International University, 23-01-29)
    Stock market prediction is always challenging due to its volatile and dynamic movement. Apart from the technical factors, many external factors make it more difficult to predict the stock market of a developing country ...

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