THE UNITED NATIONS' RESEARCH INITIATIVE- TDR GLOBAL HAS AWARDED RECOGNITION TO KONNIFEL'S RESEARCH INTERNSHIP PROGRAMME AND MENTORSHIP PROGRAMME

Intern Under
Assistant Professor

Computer Engineering

K J Somaiya School of Engineering, SVU

AI-Driven Support for Medicinal Plant Identification and Usage

Field of Internship

Computer Science

Research Area of Internship

Artificial intelligence and Machine learning

About Internship

Assistant Professor, Department of Computer Engineering , from K J Somaiya School of Engineering, SVU, is accepting interns interested in the field of Computer Science, in the research area of Artificial intelligence and Machine learning.

This internship offers students an opportunity to apply Deep Learning, Natural Language Processing (NLP), and User Experience Design (UxD) to real-world problems in plant care. Interns will work on identifying gaps in existing plant recommendation systems and contribute to building a smarter solution for medicinal plant identification. Tasks include: 1. Gathering and labeling datasets of medicinal plants. 2. Developing and training machine learning models for accurate plant recognition. 3. Exploring user-centered design approaches for better recommendation systems. 4. Assisting in the implementation and evaluation of plant care solutions.

Desired Skills/Techniques

Data Analysis, Maths and Stats, Python,

Who is eligible?

Bachelors/Masters

Mode of the Internship

Virtual

Open Positions

The number of interns being selected is flexible and dependent on the quality of applications for this Internship.

Internship Duration

2 Months

Paid/Unpaid

UnPaid

Application opens on

Available round the
year

Application Deadline

Available round the
year

Starting date of Internship

Available round the
year

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