Undergraduate student specializing in AI and Computer Vision, with hands-on experience in robotics and real-world machine learning systems.
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I'm an undergraduate student specializing in Artificial Intelligence and Computer Vision.
I have hands-on experience in robotics competitions and real-world ML applications,
with a focus on building efficient and interpretable models.
Artificial Intelligence, Machine Learning, Neural Networks, Text Mining
PyTorch, scikit-learn, NumPy, pandas, model training, evaluation, and optimization
pandas, numpy, scikit-learn, NLTK, OpenCV, matplotlib, seaborn
HTML5, CSS, responsive design, basic frontend development
VS Code, PyCharm, IntelliJ IDEA, Eclipse, Jupyter, Google Colab, Anaconda
OpenCV, image processing, object detection, feature extraction
Skills: R, Algebra, Statistics, Optimization, Regression, Classification, Clustering
Skills: Fuzzy Logic, Fuzzy Systems, ANN, Genetic Algorithms
Skills: Python, Data Structures, Algorithms
Skills: C++, OOPs
Skills: Python, OPPs, Data Structures, Regular Expressions, Problem Solving
Skills: Version-control, Git, GitHub
Skills: Web-design, HTML5, CSS
This project focuses on evaluating six abstractive summarization models (Seq2Seq with Attention, BERTSUMABS, BART, T5, PEGASUS, XLNet) on benchmark datasets (CNN/DailyMail, XSum, Gigaword). The models were analyzed using ROUGE and BLEU metrics to measure fluency, coherence, and content accuracy.
This project involves Natural Language Processing (NLP) to perform sentiment analysis by classifying tweets as positive or negative. Machine learning models are employed for classification, with additional focus on text mining, text analysis, data analysis, and data visualization.
