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Augmented Reality Development Intern

National Informatics Center

Designed and implemented augmented reality features on Unity and seamlessly integrated APIs to enhance the project's functionality.

Space Research and Software Development Intern

Blue Eye Soft Corp

Conducted in-depth research on the detection and removal of space debris and satellite anomalies and proposed potential solutions.

Deep Learning Intern

Technical Coding Research Innocation

Developed various deep learning models involving diverse range of algorithms CNN, ANN, RNN, Yolo, etc. fine-tuned parameters, and optimized the overall performance of the models.

Product Development Intern

SAKEC

Developed impactful product tailored specifically for the college environment by drawing upon the technologies of web.

Software Engineer Intern

MarketLync

Developed reusable components in ReactJS, including a dynamic profile page, and other essential features, crafted clean and web-compatible code.

Student Mentor

SAKEC

Provided guidance to junior students, fostered a collaborative learning environment through personalized mentoring.

WomenTech Member

WomenTech Network

Engaged in networking, mentorship, and promoting the empowerment of women in technology.

Event Coordinator

SAKEC RoboClub

Anchored and orchestrated many robotics events, coordinated with the members, and ensured successful execution.

NSS Volunteer

National Service Scheme

Contributed to the betterment of society through collective efforts and community service initiatives.

Volunteer

Childo Education Research and Development Foundation

Actively contributed to educational initiatives by raising funds and awareness.

Augmented Humanoid

A virtual counsellor in the real world for people facing mental health issues, developed by uniting augmented reality and natural language processing.

Exoplanet Hunting

Developed a method that allows astronomers to detect the existence of an exoplanet near a star based on time series flus intensities of thousands of stars.

Protect While You Farm

An automatic crop leaf disease detection technique for farmers that integrates neural network concepts to distinguish between healthy and diseased crops.

Faculty Event Control

Faculty Event Control allows to manage and keep track of every single event, from the date of organisation to the start and end times with all details.

Global Wheat Detection

Trained yolov5 model, a computer vision model on a large, diverse and well annotated image data of crop fields to detect and localize each wheat head.

Breast Cancer Detection

Examined the effectiveness of the various deep learning models, especially InceptionResnet, in classifying the presence of Invasive Ductal Carcinoma.

Augmented Humanoid Counselor for Mental Health using LSTM Neural Network

Research Paper

GRENZE International Journal of Engineering and Technology

Augmented Humanoid Counselor for Mental Health using LSTM Neural Network

Copyright

Extracts from the Register of Copyrights