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I'm an Undergraduate researcher with a focus on research, engineering, specializing in the dynamic field of computer vision. With a keen interest in machine learning, robotics, and proficiency in MATLAB and Python, I am dedicated to exploring the intersection of these disciplines. Currently immersed in the captivating world of computer vision, I am actively engaged in projects ranging from image recognition to object detection, and data augmentation, constantly seeking to unravel new possibilities and applications. Committed to continuous learning, I am expanding my knowledge by mastering various machine learning libraries and frameworks to enhance my skill set within the realm of computer vision. Open to collaboration on intriguing research projects, I am eager to contribute my skills and passion to innovative endeavors within computer vision.

NISHI KANT MANDAL's Projects

cubesatellite icon cubesatellite

Additional materials to "Design of cooperative communication system based on CubeSat satellites" (master thesis) .

diffusion_gen_med icon diffusion_gen_med

This repository explores diffusion models for medical image data augmentation, crucial for enhancing machine learning model robustness in medical imaging. The four implemented methods include training without augmentation, utilizing keras ImageDataGenerator, employing a DCGAN for image generation, and leveraging DDPM for augmenting images.

evopictura-ai-powered-visual-renaissance icon evopictura-ai-powered-visual-renaissance

The project's name is "EvoPictura: AI-Powered Visual Renaissance" built using MIT app Inventor whose soul funtion is to send prompt to OpenAi's API to get visuals of the given prompt.This project was created for educational purpose and to learn about how API works.

hand_written_digit_recognizer icon hand_written_digit_recognizer

This repository features a basic implementation of a neural network using TensorFlow and Keras to recognize handwritten digits from the MNIST dataset. The model comprises a flattening layer, two dense layers with ReLU activation, and a final output layer with softmax activation. The script achieves high accuracy on the test set 99.91%.

image_captioning_ml_model icon image_captioning_ml_model

This repository hosts a robust Image Captioning application, leveraging the powerful Hugging Face API for seamless image-to-text conversion and Gradio to craft an interactive, technically refined interface. By uploading an image, users can harness the model's capabilities to generate precise and contextually rich captions.

intellectra icon intellectra

This project is concerned with the analysis, design, development, implementation and evaluation of an e-learning management system to provide a user friendly environment for prospective students to acquire knowledge at any educational level and to bridge the gap between teachers and students.

llama3 icon llama3

The official Meta Llama 3 GitHub site

matlab007 icon matlab007

This repository was build for my matlab files.

perceptronix icon perceptronix

This was our hackathon project where we have to calculate distance using monocular depth estimation technique , we used depth estimation maps for getting the depth of the various features in a 2D image , using MiDas Machine Learning Model and some custom mathematics to calculate rough distances of the features from camera module.

proctoria icon proctoria

This was our project to provide the online proctored examination facility, with our self build online examination system in php named as "Proctoria" . I along with my co-founder 'Koushik' successfully conducted various tests in our own school.

seraphina icon seraphina

Code written in Python using the Tkinter library for creating a GUI application. The code is for creating a voice assistant program that can perform various tasks such as searching on Wikipedia, opening web pages, playing music, getting weather information, opening applications, taking screenshots, and more.

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