CHRIST Lavasa's research culture focuses on teaching students how to ask crucial questions, how to stay motivated, and where to go for information, guiding them in the right direction. We interviewed six students to gain their insight into the campus research culture. These students were involved in varied academic projects and had experience investigating different topics. Let's take a look at how the Christ Lavasa students have contributed to research and how they feel about it.
1) Masked Face Recognition and
Liveness Detection using Deep Learning Technique
Due to the pandemic, there was difficulty in utilizing the facial recognition feature of our phones while wearing masks. Face recognition is also used in many organizations and offices to track attendance. It is easy for students to obtain fraudulent attendance by using a picture on their phone. Mukul Mishra from the Department of
Data Science addressed this concern and decided to work on it with the HOD, Dr Samiksha Shulka and Dr Lija Jacob to detect disguised faces and check whether the person is real. Mukul is collecting data, developing models, pre-processing, and prototyping. "The faculty at Christ Lavasa is helpful and has given me direction throughout the process," adds Mukul .
2) Should There Be More Laws to
Protect the Workers and if Yes, What Should They Be?
Rahul Chatwal from the Department of
Law wrote and published a research paper under the supervision of Dr Sunil John on the disputed question of whether our country needs new labour laws. The document contains research from credible sources, data analysis, and writing a conclusion. "Because of this investigation, I learned to not always trust Google. It also helped me understand the law better," adds Rahul.
3) Inventory Modeling
Kishika Ahuja from the Department of Data Science, under the supervision of Dr Jitendra Kaushik, worked on the inventory problem of fruits and vegetables, which have a significant degradation rate during the pandemic. In such situations, several suppliers make offers to clear their inventory out. She researched how degradation affects profitability in her study, creating graphs and studying statistical models. Kishika learned how to explore, connect, and have fun due to this study. "The faculty of Christ Lavasa helps us become the person we want to be," says Kishika.
4) An Efficient Deep Learning-Based Hybrid Architecture for Hate Speech Detection in Social Media
Nilanjan Nath is pursuing his master's in Data Science and is working on a hybrid architecture to identify hate speech in English tweets using CNN (Cable News Network) and LSTM (Long Short-Term Memory Networks). He had the guidance of Dr Fr Jossy P George, Athishay Kesan, and Andrea Rodrigues. The model aims to distinguish between the content posted by friends and the content posted by haters and allows for language customization to stop the increasing hate speech on social media. The model has a 90 percent accuracy rate. "I received four job offers as a result of our research project," recalls Nilanjan. He also says that the teachers and his classmates assisted him in gaining direction, scaling up his approach, and motivating him.
5) Analysis of Challenges Experienced By Students in Online Classes during the Covid-19 Pandemic
The students Sandeep Jabev and Nirmalaya Sarkar from the Department of Data Science under the supervision of Dr Samiksha Shukla investigated how students coped throughout the pandemic and its impact on their academic performance. "The data sample was male-dominated," Sandeep explains. They learned how to analyze data, solve problems, and ask questions. They presented their findings at the IDSCS Conference. "The faculty gave me exposure, opportunities, and boosted my confidence," adds Sandeep.
6) Fake News Detection using
Traditional Machine Learning Models and Hybrid Deep Learning Models
Aditya Saha from the Department of Data Science created an automated model that helped detect fake news, under the guidance of Prof. K.T Thomas and Dr Samiksha Shukla (HOD). He proposed a hybrid deep learning model combining CNN and LSTMs to increase the accuracy of the results. He applied a hybrid model, which improved his NLP (Neuro-linguistic programming) skills. "Prof KT Thomas helped me in every step of the way, and many thanks to our HOD, Dr Samiksha Shukla, for making it all possible," says Aditya.
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