Apply To CPS Lab

Education 4.0 is a technique of learning that is connected with the fourth industrial revolution and focuses on transforming the future of education through advanced technology and automation. Smart technology, artificial intelligence and robotics are part of this industrial revolution. Extensive amounts of data gathered from educational setups need to be analyzed using intelligent data analysis (IDA) methods. Smart assistants and support systems need to be developed using such data through advanced techniques of machine learning.

Challenges for Research Interns

1. Use traditional data science and analysis techniques on education-related data
2. Design and implement new techniques for the interpretation of data gathered from live educational environments

Prerequisites

1. Technical Skills
   1. Programming Languages – Python / JavaScript / MATLAB
   2. Libraries – Numpy / Pandas / Tensorflow / Tensorflow.js / PyTorch / Scikit-learn
2. Non-Technical Skills
   1. Good Quantitative Aptitude
   2. Good Qualitative Aptitude
   3. Good Communication Skills

Next-Gen Apps usher in a new era of innovation by seamlessly blending the power of Android development with the transformative capabilities of MLOps (Machine Learning Operations). In this domain, we explore the dynamic synergy between Android applications and machine learning, creating intelligent, responsive, and adaptive mobile experiences that redefine user expectations.
MLOps is ensuring that machine learning models seamlessly integrate into the Android app lifecycle. From model training to deployment and continuous monitoring, MLOps practices enhance the reliability and efficiency of intelligent features within Android applications. This fusion of Android and MLOps empowers developers to create apps that learn, evolve, and provide personalized experiences to users.
Challenges for Research Interns

1. Integrate machine learning capabilities into Android applications, enhancing user experiences with intelligent features
2. Implement MLOps practices to manage the lifecycle of machine learning models within the Android app development process
3. Collaborate with cross-functional teams to optimize the interplay between Android development and machine learning workflows

Prerequisites

1. Technical Skills
   1. Familiarity with Android app development (Java/Kotlin)
   2. Programming languages – Python
   3. Understanding of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch)
   4. Experience with MLOps tools and practices
2. Non-Technical Skills
   1. Strong problem-solving skills and attention to detail
   2. Effective communication and collaboration within a diverse and dynamic development environment
   3. Adaptability to emerging technologies and evolving development methodologies

Transforming Voices is a pioneering initiative dedicated to leveraging Natural Language Processing (NLP) technologies to empower and elevate under-represented languages. This involves developing language models, sentiment analysis tools, and other NLP applications tailored to the unique nuances and characteristics of languages.
Championing linguistic inclusivity, Transforming Voices strives to ensure that speakers of under-represented languages have access to a wide array of digital applications, from voice assistants to language translation tools.

Challenges for Research Interns

1. Apply NLP techniques to under-represented languages for tasks such as language modeling, sentiment analysis, and information retrieval
2. Design and implement tools that facilitate digital communication and content creation in under-represented languages
3. Collaborate with linguists and community representatives to understand the unique linguistic characteristics and cultural nuances of each language

Prerequisites

1. Technical Skills
   1. Programming Languages – Python / JavaScript / MATLAB
   2. Knowledge about NLP frameworks and libraries (e.g., NLTK, spaCy, Hugging Face Transformers)
2. Non-Technical Skills
   1. Effective communication skills
   2. Problem-solving abilities
   3. Adaptability to the evolving landscape of NLP and the diverse linguistic contexts encountered in the project

Visionary Healthcare is at the forefront of leveraging cutting-edge technology to revolutionize the healthcare landscape through the application of transformative computer vision solutions. In the era of Healthcare 4.0, where innovation is key, our focus is on harnessing the power of computer vision to enhance medical diagnostics, streamline processes, and improve patient care. We extract meaningful insights from diverse healthcare datasets using sophisticated computer vision algorithms.
Challenges for Research Interns

1. Apply computer vision techniques to analyze and interpret medical images for diagnostic purposes
2. Develop and implement innovative solutions for real-time monitoring of patient health using computer vision technologies
3. Collaborate with healthcare professionals to understand and address the specific needs and challenges of the industry

Prerequisites

1. Technical Skills
   1. Programming Languages – Python / MATLAB
   2. Libraries – OpenCV / TensorFlow / PyTorch / scikit-image
   3. Understanding of medical imaging modalities and relevant data formats
2. Non-Technical Skills
   1. Analytical thinking and problem-solving abilities
   2. Strong interpersonal and communication skills
   3. Adaptability to the dynamic and evolving field of healthcare technology

Novel data analysis and visualization systems for big data need to be introduced in order to improve the user experience in the process of analysis, and improve the intuitiveness of the information represented through the data. The dynamic nature of data from multiple sources continues to provides interpretation challenges to users. Therefore, there is an urgent need to create information rich visualizations for the purpose of gaining insights during research in data-rich domains.

Challenges for Research Interns

1. Design new data analysis and visualization systems for Big Data
2. Represent AI / ML / DL processes using interactive visualizations

Prerequisites

1. Technical Skills
   1. Programming Languages – Python / JavaScript / MATLAB
   2. Libraries – Numpy / Pandas / Tensorflow / Tensorflow.js / PyTorch / Scikit-learn
2. Non-Technical Skills
   1. Good Quantitative Aptitude
   2. Good Qualitative Aptitude
   3. Good Communication Skills

In the rapidly advancing landscape of e-Governance, our focus is on leveraging state-of-the-art frameworks, particularly Flask and Django, for the development of robust software solutions that enhance the efficiency, transparency, and accessibility of government services. Through a seamless integration of these frameworks, we aim to empower government entities with the tools needed to streamline processes, engage citizens, and foster an environment of digital governance.
Our projects involve the design and implementation of e-governance frameworks that cater to the specific needs of government departments. Whether it’s citizen portals for accessing services, administrative interfaces for government officials, or data analytics platforms for informed decision-making, the goal is to create a comprehensive and interconnected ecosystem that optimizes the functioning of public services.

Challenges for Research Interns

1. Design and develop backend services for ML-based web applications
2. Design, develop and maintain previously built web applications
3. Design and develop frontend for web applications

Prerequisites

1. Technical Skills
   1. Programming Languages – Python / PHP / JavaScript / Node
   2. Libraries – Flask / Django / Yii2 / Laravel / React / Angular / Vue
   3. Concepts – MVC / AJAX
2. Non-Technical Skills
   1. Good Quantitative Aptitude
   2. Good Qualitative Aptitude
   3. Good Communication Skills

AI Imagination Unleashed is a visionary playground where the fusion of Large Language Models (LLM) and Generative Adversarial Networks (GAN) transforms the boundaries of creative expression. In this dynamic domain, we explore the untapped potential of artificial intelligence to inspire and create by bringing together the power of language understanding and generative artistry.
The goal is to push the boundaries of what AI can envision and produce, fostering a synergy between human creativity and artificial intelligence that sparks innovative and imaginative outcomes.

Challenges for Research Interns

1. Explore novel applications of LLM and GAN in generating creative content, both textual and visual
2. Collaborate on projects that involve the co-creation of art, literature, or other forms of imaginative expression
3. Contribute to the development and enhancement of AI models for creative purposes

Prerequisites

1. Technical Skills
   1. Introduction of working with Large Language Models (e.g., GPT-3, BERT) and Generative Adversarial Networks
   2. Programming languages – Python
   3. Understanding of natural language processing and generative AI techniques
2. Non-Technical Skills
   1. Creativity and an appreciation for artistic expression
   2. Effective communication and collaboration skills for interdisciplinary projects
   3. Adaptability to explore new frontiers in AI-driven creative processes