Students Club
Geekhistan Club (Students Technical Club)
AI-Q club (AI/ML Research Club)
SamiKSHA (Students Magazine)
Geekhistan Club (Students Technical Club)
AI-Q club (AI/ML Research Club)
Department of Computer Science and Engineering
AI-Q Club (AI/ML Research Club)
At AI-Q Club, we dive deep into the fundamentals of machine learning, covering topics such as algorithms, data analysis, and applications. Whether you’re a complete beginner or an experienced practitioner, there’s something for everyone in our diverse range of activities. We have domains including Deep Learning, Computer Vision, Natural Language Processing, and Reinforcement Learning.
In AI-Q, you’ll get hands-on experience with popular machine-learning tools and techniques. Engage in stimulating discussions with fellow members and industry professionals, sharing insights and ideas on the latest developments in AI.
But that’s not all! AI-Q also provides opportunities to work on exciting projects, collaborate with peers, and showcase your skills to the wider community. Whether you’re interested in building predictive models, exploring neural networks, or applying machine learning to solve real-world problems.
What is AI-Q SCSVMV?
AI-Q is the Artificial Intelligence and Machine Learning Club of SCSVMV Kanchipuram. It is a community of scsvmv students motivated and passionate in the emerging fields of AI/ML. AI-Q aims to be the gathering place for students enthusiastic about learning, discussing and applying AI/ML to all kinds of problem-solving, be it academic or real-life.
What do we do?
We organize multiple fun and educational events in SCSVMV related to AI/ML, like expert talks, workshops, and more. We strive to lower the entry-barrier in the emerging field of AI/ML by providing opportunities to interact with leaders in industry and academia, and also a hands-on learning experience.
Why did we start this club?
In recent times, the field of AI/ML has seen massive growth with large numbers of researchers and engineers entering academia and industry alike. With better and cheaper computational power, and a colossal amount of data generated every day, AI and ML are finding broader and deeper applications in every area. However, in SCSVMV Kanchipuram, we lacked a dedicated club to cater to the large community of students interested in this field. AI-Q strives to address this void by being the one-stop destination for SCSVMV students passionate about AI/ML.
What is our vision for the future?
The emerging field of AI/ML is fast revolutionizing all aspects of modern life. It is going to impact the future of virtually every industry and human being. AI-Q thus aims to be a launching pad for students eager to take up a career in AI/ML. The club recognizes the diverse aspirations of students in academia, industry and entrepreneurship, and thus it focuses on catering to the various career directions in AI/ML. The vision of the club is to provide content, guidance and practical experience to students of SCSVMV in AI/ML building a community of like-minded individuals. AI-Q aspires to be the one-stop solution for all your queries in AI/ML.
What is in store for you?
If you are looking forward to beginning your journey, or if you want to hone your skills in AI/ML, then this is the right place for you. We have many exciting events in store for you like talk with alumni, talks by experts, hackathons, projects, blogs and workshops. Besides, you get to connect with like-minded people and discuss and learn and collaborate, to drive the overall growth of the AI/ML community at SCSVMV. Bottom line: we will make your journey in the field of AI/ML fun and exhilarating.
Objectives:
- To spark an interest in the field of AI/ML through hands-on activities.
- To create an environment for students interested in AI/ML to explore further.
- To educate students on what exactly Artificial Intelligence & Machine Learning is, and to get them interested in ML.
- To familiarize students with ML frameworks, workflows and best practices.
- To guide students with project ideas, and enable them to move in the right direction.
Meet the Team!!!
Curious about who’s behind this initiative? We are a team of passionate sophomores committed to establishing this community at SCSVMV. We believe that a dedicated AI/ML club will greatly benefit our peers, whether they’re looking to build a career in these fields or simply explore them. You can check out our team’s photos below to put faces to the names!
Faculty Team:
Dr.M.SenthilKumaran
Associate Professor
Dept.of CSE
SCSVMV Deemed to University
Kanchipuram
Dr.R.Poorva Devi
Assistant Professor
Dept.of CSE
SCSVMV Deemed to University
Kanchipuram
Dr.D.Thamarai Selvi
Assistant Professor
Dept.of CSE
SCSVMV Deemed to University
Kanchipuram
Faculty Co-ordinator :
Dr.R.Prema
Assistant Professor
Dept. of CSE
SCSVMV Deemed to University
Kanchipuram
Tamilnadu
Student Members
BH.DHATRI
III BE CSE (AI&ML)
VARDINNI REDDII
III BE CSE (AI&ML)
R.SRISHREYA
III BE CSE (AI&ML)
SWAMINATHAN S
III BE CSE (AI&ML)
C. KARTHIKEYA SAKETHARAM
II BE CSE(AI&ML)
B. DINESH
II BE CSE(AI&ML)
SIVAGAMI
II BE CSE(AI&ML)
NITHYAASRI V.B
II BE CSE (AI&ML)
Ongoing projects:
- Fake news detection
In recent years, the proliferation of fake news has posed significant challenges to the credibility of online information, leading to misinformation and erosion of trust in media outlets. This project focuses on developing an automated system for fake news detection, leveraging machine learning and natural language processing (NLP) techniques. The primary goal is to classify news articles and social media content as either genuine or fake, using a variety of linguistic, semantic, and contextual features.The system is designed to analyze textual data, extract key features like sentiment, lexical choices, and factual consistency, and apply supervised learning algorithms such as Support Vector Machines (SVM), Random Forest, and deep learning models. The project also incorporates the use of large datasets of verified fake and true news for training the models, ensuring robust and accurate detection.
Additionally, this project emphasizes the importance of explainability in AI, providing transparency on how classification decisions are made, which can foster user trust. The expected outcome is a scalable tool that can assist in curbing the spread of misinformation, benefiting media organizations, fact-checking institutions, and the general public.
The project also explores ethical considerations, focusing on the balance between content moderation and free speech, ensuring that the model’s implementation does not inadvertently suppress legitimate discourse.
2. Women’s Safety App
Ensuring the safety of women in both public and private spaces is a growing concern globally. This project focuses on the development of a Women’s Safety App, designed to provide a comprehensive solution for enhancing personal safety through real- time support, monitoring, and alert systems. The app leverages smartphone technologies such as GPS, live location sharing, and emergency contacts integration to offer immediate assistance in potentially dangerous situations.Key features include an SOS button that triggers an emergency alert to pre-selected contacts along with the user’s real-time location, automatic route tracking for safe journeys, and an alarm system to deter potential threats. Additionally, the app incorporates voice-activated commands, allowing users to discreetly activate emergency protocols without needing to access the phone directly.
A community-sourced feature enables users to report unsafe areas, which is then mapped to provide a crowd-sourced heat map of potentially dangerous zones. The app is also integrated with local law enforcement agencies and verified volunteer networks for rapid response in emergencies.
To further enhance user protection, the app provides tips for personal safety, tools for reporting harassment or abuse, and secure data encryption to protect user information. The goal of the app is to empower women by providing accessible and reliable safety tools, helping to reduce the risk of violence and enhance confidence in navigating public spaces.
3. Brainstone Detection System
The Brainstone Detection Project focuses on developing a cutting-edge medical diagnostic tool for the early detection of brain calcifications, commonly referred to as “brainstones.” These calcifications can be indicators of various neurological conditions, such as brain tumors, neurodegenerative diseases, or metabolic disorders. Early detection is critical for timely medical intervention, treatment planning, and improving patient outcomes.This project leverages advanced imaging techniques, such as CT scans and MRI, in combination with machine learning algorithms to accurately identify and classify brain calcifications. Using deep learning models, particularly convolutional neural networks (CNNs), the system is trained on large datasets of brain images to detect patterns and anomalies associated with brainstones. The model is fine-tuned to differentiate between benign calcifications and those that may indicate more serious underlying conditions.
The system’s primary goals include high sensitivity and specificity in detecting calcifications, reducing false positives, and ensuring robust, real-time analysis. The project also explores integrating the tool into existing medical imaging workflows, offering radiologists a powerful assistive technology to enhance diagnostic precision.
In addition to technical development, the project addresses ethical considerations related to medical AI, including patient privacy, data security, and the importance of ensuring that the tool is transparent and explainable to healthcare professionals. Ultimately, the Brainstone Detection Project aims to contribute to more accurate and earlier diagnoses of neurological conditions, improving the quality of care and patient outcomes.
SamiKSHA (Students Magazine)