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therrshan/README.md

Hi 👋, I'm Darshan Rajopadhye

Masters in Artificial Intelligence at Northeastern University

therrrshan

darshanrr darshanrajopadhye therrshan__

I am a graduate student at Northeastern University, currently pursuing a Master's in Artificial Intelligence at the esteemed Khoury College of Computer Sciences in Boston. My academic journey is deeply rooted in a passion for AI, and my expected coursework is specifically tailored to the fields that inspire me the most: Computer Vision and Deep Learning.

The fusion of Computer Vision and Deep Learning has always fascinated me. The capability of machines to understand and interpret visual data, mirroring human perception, represents a profound and ever-evolving aspect of AI. In my current academic and research endeavors, my aim is to delve deeper into these disciplines, refining my expertise and gaining a comprehensive understanding of their applications and potential.

As I progress in my academic pursuits, my aspiration is to contribute meaningfully to the field of AI through impactful research. My chosen path perfectly aligns with this ambition, as I intend to leverage my knowledge and skills to explore the frontiers of Computer Vision and Deep Learning. My goal is to extend the boundaries of what's possible and make substantial contributions to these fields, addressing real-world challenges and unveiling innovative solutions.

Languages and Tools:

flask git linux opencv python pytorch tensorflow

therrshan's Stats therrshan's Streak


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  1. image-captioning Public

    Comparitive analysis of image captioning model using RNN, BiLSTM and Transformer model architectures on the Flickr8K dataset and InceptionV3 for image feature extraction.

    Python 4 1

  2. kernel-svm-nsl-kdd Public

    Intrusion detection using kernel svm and grid search cross validation on the NSL-KDD dataset.

    Jupyter Notebook

  3. nn-scratch Public

    Implementing neural networks from scratch

    Python

  4. Salary-Predictions Public

    Salary Prediction for any job from Glass Door data.

    Jupyter Notebook 1

  5. FogRemoval-AODNET Public

    AOD Net implementation for testing of the fog removal from the images using the pretrained model.

    Python

  6. llama-sbic Public

    Finetuning LLAMA-2 7B model on SBIC dataset for exploring it as an alternative for manual annotation.

    Python

175 contributions in the last year

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Activity overview

Contributed to therrshan/llama-sbic, therrshan/mlops-cifar10, therrshan/video-panorama and 9 other repositories
Loading A graph representing therrshan's contributions from April 07, 2024 to April 10, 2025. The contributions are 100% commits, 0% issues, 0% pull requests, 0% code review.

Contribution activity

April 2025

3 contributions in private repositories Apr 1 – Apr 2
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