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Browsing Project Report by Title

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  • Crime Rate Analysis Using Machine Learning Technique 
    Tasnim, Jerin; Rahman, Nadia (Daffodil International University, 23-02-12)
    A method for methodically detecting crime, analyzing crime patterns, and anticipating crime trends is crime analysis. The information gleaned from machine learning is of great use to police officers and can be applied to ...
  • Crime Rate Prediction and Spot Detection System Using Machine Learning and Data Mining 
    Mahmud, Sakib; Nuha, Musfika (Daffodil International University, 2020-07-26)
    Analysis of crime is a methodological approach to the identification and assessment of criminal patterns and trends. In a number of respects cost our community profoundly. We have to go to many places every day for our ...
  • Criminal Investigation with Suspect Prediction 
    Hasan, Mehedi; Kheya, Nusrat Jahan (Daffodil International University, 2022-01-04)
    Crime Management System with Suspect Prediction is rhetorical system that may facilitate officer to visualize out past criminal event from the system and helps to keep over the patterns in crime situation whether or not ...
  • Crop Disease Detection Using Computer Vision 
    Ahmed, Md. Jobaer; Siddique, Shahriya (Daffodil International University, 2019-12)
    Historically, Bangladesh is an agriculture-based country. Approximately 40% of its population is involved in the agriculture sector. Although our country has achieved food sufficiency in recent years and many of the ...
  • Crop Disease Recognition using Deep Learning 
    Sohan, S. M.; Rahman, Md. Monsakib (Daffodil International University, 2022-01-02)
    Bangladesh is an agricultural country. Agriculture is considered to be the backbone of our country. Crops play an important role in our daily routine providing us with nourishments. Because of being environmental condition ...
  • Crop Plant Disease Detection Using Image Processing 
    Mahmud, Rakib (Daffodil International University, 2021-07-03)
    Our country depends greatly on the crop for its economy and to meet food needs. It is important to detect any disease in time to ensure healthy and proper growth of crop plants and before applying necessary treatment on ...
  • Crops Production Predict Using Machine Learning on Perspective of Bangladesh 
    Shaon, Sibli Shadik; Zihad, Md. Ferdous Sarker; Al Mamun, Abdullah (Daffodil International University, 2022-01)
    Bangladesh is predominantly agricultural country and the agriculture sector is crucial to the country's economic development. To maintain long-term food security for humans, it is necessary to developing a productive, ...
  • Crowd Funding Bd 
    Siddiquie, Moinul Hassan; Rahman, Kazi Rubaiyat Shahriar; Hossain, Rakib (Daffodil International University, 2020-10-19)
    The project Crowdfunding’s main aim is to build a helping platform for poor / crisis people. Crowdfunding will be able to manage the data of the Bangladeshi people provide easy access to the information. The general ...
  • CubeSat and CanSat Development and Demonstration 
    Zim, Md Ziaul Haque (Daffodil International University, 22-09-01)
    In modern science, satellites have become a fundamental technique for communication, navigation and exploration of Earth or planets. Most countries are turning to develop their own satellites with their own technology ...
  • Cuisine Prediction Based on Ingredients 
    Islam, S. K. M Shadekul; Mitu, Majeda Akter; Mobashira, Mysha (Daffodil International University, 23-01-29)
    Cuisine prediction based on ingredients is a complex task that has numerous applications in the food industry, including recipe recommendation and food delivery. Accurate and reliable prediction models have the potential ...
  • Cure Health: Facilitate M-Health Service in Bangladesh 
    Himel, Md. Harun- Or- Rashid; Abdur Rajib, Mir; Sakib, Sakhawat Alam (Daffodil International University, 2019-12-10)
    "Cure Health: Facilitate M-health Service in Bangladesh" is a m-health service which is basically used for the practice of medicine and public health supported by mobile devices. This android application reduces the ...
  • Currency Identification and Fraudulence Detection System 
    Siddiki, Marjuk Ahmed; Khadija Akhter (Daffodil International University, 2021-05-31)
    Counterfeit currency is often rumored around the world. Growing up in tandem with technology, there is a huge cycle of making counterfeit notes. Just as it has become easier to make counterfeit currency day by day, it ...
  • Customer Churn Prediction for Telecommunication Operator 
    Sarkar, Baiyezid; Islam, Rashadul; Hossain, Md. Sujon (Daffodil International University, 2021-01)
    Client turnover is a significant issue and one of the most pressing issues for large businesses. Companies are working to develop methods to predict potential customer churn because it has such a direct impact on their ...
  • Customer Churn Prediction with Machine Learning Approaches 
    Borson, Prattoy Paul; Tahsin, Anika (Daffodil International University, 23-02-12)
    Customer churn prediction is a critical task for many industries, such as telecommunications, banking, and e-commerce. This paper presents a comprehensive survey of customer churn prediction methods, which are typically ...
  • 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 ...
  • 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 ...
  • Customer Segmentation by Using Machine Learning and E-commerce Solution 
    Bepary, Anup Chandra; Ferdous, Zannatul (Daffodil International University, 2020-07-19)
    Customer segmentation is very important for online businesses like e-commerce. To grow a business a person should understand their customers very thoroughly. That’s why customer segmentation is very important. It is also ...
  • Customer Segmentation Using RFM Analysis 
    Sadekur Rahman, Md. (Daffodil International University, 2020-10-01)
    This report is expected as a direction for teachers and engineering students when conducting inquire about is a portion of course-work requirement. Dialog incorporates a depiction of writing look, the reason for a writing ...
  • Cyber Automobile Shop Management Web Application 
    Torun, Sha Istiauqe Ahammed (Daffodil International University, 2021-08-18)
    Carmart is an online vehical mangaement company and it is a platform for serving management system through online user friendly and generate profits. The goal of this site is to car,motor parts,services and make life ...
  • Cyber Bullying Detection Using Machine Learning Utilizing Social Media Data 
    Rakib, Md. Abdur; Rahman, Rashedur; Kobra, Khadiza- Tul- (Daffodil International University, 2021-03-30)
    Harassment now a days become a headache for both men & women. Technological development makes our life easy, and harassment by using technological online platform become popular. This report centers to understand some ...

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