High-Impact Projects (HIPs)

Engineering combines both theoretical and practical knowledge in a complex way. Projects serve as the crucial link between these two aspects, providing the essential balance needed in the corporate world.

• SRI (Summer Research Internship) Project
• AI in Software Development Life Cycle
• SP (Side Project)
• SE (Software Engineering / Software Design) Projects
• ML (Machine Learning) Projects
• CS (Cyber Security) Projects
• DS (Data Science) Projects

Summer Research Internship Project

A Summer Research Internship (SRI) Project is an opportunity for students, to gain in-depth, hands-on research experience during the summer break. The primary purpose of an SRI project is to expose students to the research process, enhance their technical skills, and develop their problem-solving abilities within a structured, intensive period.

SRI Project - Program Coordinator:
	Dr. K Rajendra Prasad Professor and Head, CSE (DS) E-mail: dr.rajendraprasad@iare.ac.in Phone: 9959990001

AI in Software Development Life Cycle

AI in Software Development Life Cycle - Program Coordinator:
	Dr. M Nagaraju Assistant Professor in CSE (AI&ML) E-mail: m.nagaraju@iare.ac.in Phone: 9441168122

Side Projects

A Side Project (SP) is an independent project that a student work on outside of your primary responsibilities. Side projects are often started to explore personal interests, build skills, or work on something creatively fulfilling without the constraints of routine academic settings. These projects provide an opportunity for hands-on learning, creativity, and personal growth, and they often become valuable additions to a portfolio or resume. It covers multiple areas of technologies from hardware to software and client side apps to backend cloud services.

SP Project - Program Coordinator:
	Dr. C V Rama Padmaja Associate Professor in CSE and Trainer, Career Development Centre E-mail: cvrpadmaja@iare.ac.in Phone: 9989346633

Software Engineering Project

The software engineering project (SEP) allow the students to apply engineering principles, design practices, and technical skills to create well-structured, functional, and reliable software solutions. These projects are valuable in both academic and professional contexts, as they develop competencies needed for real-world software development.

SEP Project - Program Coordinator:
	Dr. B Padmaja Associate Professor and Dean, Career Development Centre E-mail: b.padmaja@iare.ac.in Phone: 9618150625

Machine Learning Project

Machine Learning (ML) projects allow students to apply the mathematical and statistical knowledge as well as principles of algorithms and data structures to solve real-world problems. ML project develops a range of skills, from data preprocessing and feature engineering to model building, evaluation, and tuning. These projects help students to understand how machine learning can be applied to various fields, such as healthcare, finance, and robotics. It involve working with large datasets, complex models, and intricate problem-solving processes. These projects often involve using modern libraries, frameworks, and technologies, such as TensorFlow, Keras, Matplotlib, PyTorch, and Scikit-learn.

ML Project - Program Coordinator:
	Dr. P Ashok Babu Professor and Head in CSE (AI & ML) E-mail: p.ashokbabu@iare.ac.in Phone: 9848898290

Cyber Security Project

Cyber Security (CS) Projects can focus on various aspects, from network security and malware analysis to incident response and threat intelligence. These projects can involve building tools, simulating attacks, or assessing vulnerabilities to improve security practices. This HIPs – cybersecurity project experience creates bigger opportunities in the industry.

CS Project - Program Coordinator:
	Dr. M Purushotham Reddy Professor and Head in IT E-mail: dr.purushothamreddy@iare.ac.in Phone: 9885423370

Data Science Project

Data Science (DS) Projects typically involves using data analysis techniques, machine learning, and statistical methods to solve a real-world problem or gain insights from data. Projects can range from basic exploratory data analysis to complex predictive modelling.

DS Project - Program Coordinator:
	Dr. Y Mohana Roopa Professor of CSE E-mail: ymohanaroopa@iare.ac.in Phone: 9573988829