Nextgen Al Club
For the things we have to learn before we do them, we learn by doing them. CINTEL department proudly presents CINTEL’S NEXT-GEN Al. Our club is the passport for your future, because tomorrow belongs to those who prepare for it today. Though this is not just simply a club, it is an endeavor to make your learning experience seem like a journey, a journey with blue skies and a journey that would stick to your memories forever. A journey starts where the learning is now and ends where the learner is more successful. The end of the journey isn’t knowing more, it’s doing more. The activities that our club, “CINTEL’s NEXT-GEN AI” offers are vibrantly diverse to say the least.
- Upskilling programs
- Collaborative Projects
- Research
- Summer school programs
- Club helps you get internships
Beginner once, expert forever. That’s what we strive to make and for that we proudly announce six domains. Exponential progress will be assured by faculty for each domain, that means undivided attention- a guiding light essential for that right direction of progress.
The coruscating domains we offer are:
Computer Vision: An interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos.
Natural Language Processing: The application of computational techniques to the analysis and synthesis of natural language and speech.
Robotics: The branch of technology that deals with the design, construction, operation, and application of robots.
Augmented Reality / Virtual Reality: Redefining reality as you know it. One of the most intriguing fields out there.
Machine Learning & Deep Learning: uses algorithms to parse data, learn from that data, and make informed decisions based on what it has learned.
Web Development and App Development: A self-explanatory field, but brimming with potential nonetheless.
Website Link: https://srmnextgenai.tech/
Projects Under the Club:
PROJECT TITLE:- IN-STORE BOT
ABSTRACT:- Several retail shops use NLP-based virtual assistants in their stores to guide customers in their shopping journey. A virtual assistant can be in the form of a mobile application which the customer uses to navigate the store or a touch screen in the store which can communicate with customers via voice or text. In-store bots act as shopping assistants, suggest products to customers, help customers locate the desired product, and provide information about upcoming sales or promotions.
MENTOR:- Dr.S.K.Lavanya,Asst.Prof/CINTEL. TEAM LEAD: – SIVAPRASATH S
PROJECT TITLE:- AI PSYCHOTHERAPIST
ABSTRACT:- Today’s youth face a lot of stress in their life as well as their work. Various NLP techniques are employed to handle the stress of young people. Artificial Intelligence systems are developed (AI) are developed to mimic the human brain. To overcome the shortcomings of the existing system, a smarter system must be developed where an AI system has been designed to mimic the human brain and provide timely recommendations to the concerned users. The user’s state or stress levels are to be captured with the help of a Chabot and then it should be analyzed using various AI systems in order to analyze the human state and provide correct solutions. The human emotions are to be captured, analyzed and they should provide the appropriate counseling solutions using AI techniques.
MENTOR:- Dr.S.K.Lavanya, Asst.Prof/CINTEL. TEAM LEAD:- SIVAPRASATH S
PROJECT TITLE:- MINING SOFT SKILLS FROM SPEECH ABSTRACT:- This project presents a novel data-driven method for automatically extracting soft skills from speech. In today’s digital world, there is an increasing focus on soft skills. On the one hand, they facilitate innovation at companies, but on the other, they are unlikely to be automated soon. Researchers struggle with accurately approaching quantitatively the study of soft skills due to the lack of data-driven methods to retrieve them. This limits the possibility for psychologists and HR managers to understand the relation between humans and digitalisation.
MENTOR:- Dr.S.K.Lavanya, Asst.Prof /CINTEL. TEAM LEAD:- SIVAPRASATH
