Internship in Research Lab 

              Instructions for Inhouse Internship

Internship in Research Lab (IIT/NIT/University Research Lab based on call for research by respective faculty)

•   Students, who are interested in research based internship are supposed to work on the research projects given by faculties of IIT/NIT/CHARUSAT University.

• As an outcome of project, one successful publication of a research paper is compulsory.

•  Students have to report at college regularly under the supervision of respective faculty.

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https://sites.google.com/charusat.ac.in/mrugendrarahevar/project/open-project   (do refer this link for project details)

Research Project Title: Leukemia Detection based on Routine Laboratory Parameters 

Abstract:

Acute leukaemias are life-threatening haematological cancers characterised by the infiltration of transformed immature haematopoietic cells in the blood and bone marrow. Prompt and accurate diagnosis of leukaemia subtypes (ie acute lymphocytic leukaemia [ALL], acute myeloid leukaemia [AML], and acute promyelocytic leukaemia [APL], Chronic myeloid leukaemia [CML] and chronic lymphocytic leukaemia[CLL]) is of utmost importance to guide initial treatment and prevent early mortality but requires cytological expertise that is not always available. Flow of tasks: Data Collection from Kailash Cancer Hospital, Model development

Technology: Python

Dataset: Real time which required to collect

Outcome: Model to predict leukemia cancer based on CBC parameters

Registration Form Link(Google Form):

https://docs.google.com/forms/d/e/1FAIpQLSfJbUJf3lTOd5F6A6-yR7eEF1_6WgSZrOzQgXwotl1wvXK7w/viewform?usp=sharing

Research Project Title: Smart irrigation Management system by Borewell owner

Abstract: This is a smart irrigation management system in which Borewell owner will decide the schedule of the water to be supplied to the particular farm depending upon the soil moisture of the respective farm. This will help to reduce the collision between farmers as well as the farm which needs water immediately will get the water.

Flow of tasks:

1. Using soil moisture sensor measure the moisture level of soil of different farm with the help of ESP 32.

2. Comparison of moisture level between different farm.

3. Design an Mobile app for the management of the schedule for irrigation to different farms

Technology: IoT, flutter, React native

Dataset: Real time data

Outcome: better management of water irrigation to different farms.

Registration Form Link(Google Form):

https://docs.google.com/forms/d/1BCxxiNU68liGviAFx0tuZYbDQfCuXznrI49RuyB1c0/edit

Research Project Title: Recovering Clear Visuals and Enhancing Image Quality in Motion-Affected Scenes Using Deep Learning

Abstract:Image quality degradation due to motion blur poses a significant challenge in various computer vision applications. This research will explore the use of deep learning techniques to recover visual clarity and enhance image quality in motion-affected scenes. Benchmark dataset with real-world blur scenarios will be used to evaluate the performance of the deep learning framework. Quantitative metrics such as Peak Signal-to-Noise Ratio (PSNR) are employed to assess the effectiveness of the image restoration process. The results demonstrate that deep learning offers a powerful solution for restoring visual information, with potential applications in fields such as photography, video surveillance, and autonomous systems.

Flow of tasks: Various techniques model implementation and comparison between them 

Technology: Python , PyTorch or TensorFlow Framework

Dataset: Real degraded images

Outcome: Image Quality Metric evaluation

Registration Form Link(Google Form): https://forms.gle/PPSbq1CuP3X7PoAh9