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1. R.E.C.I.P.E---Kitchen-Crisis-Resolver R.E.C.I.P.E---Kitchen-Crisis-Resolver Public

   R.E.C.I.P.E. (Kitchen Crisis Resolver), is a knowledge-augmented NLP system co-developed for an NLP course, it combines LLM reasoning with a Functional/Substitution Knowledge Graph and Retrieval-Au…

   Python

2. Deep-Learning-for-MNIST-and-CIFAR-10 Deep-Learning-for-MNIST-and-CIFAR-10 Public

   Implement and evaluate Multilayer Perceptrons (MLPs) and Convolutional Neural Networks (CNNs) on two well-known image datasets: MNIST and CIFAR-10, utilizing PyTorch for implementation.

   Jupyter Notebook

3. Machine-Learning-Tree-Based-Classifiers-and-Their-Ensembles Machine-Learning-Tree-Based-Classifiers-and-Their-Ensembles Public

   Jupyter Notebook

4. K-Means-Clustering-and-Expectation-Maximization-for-Gaussian-Mixture-Models K-Means-Clustering-and-Expectation-Maximization-for-Gaussian-Mixture-Models Public

   Implement and analyze the following unsupervised machine learning algorithms using scikit-learn: K-Means Clustering, and Expectation-Maximization (EM) using Gaussian Mixture Models.

   Jupyter Notebook

5. Traffic-Sense Traffic-Sense Public

   YOLO-based real-time traffic control system with emergency vehicle detection — undergraduate FYP, MERN/Flask stack.

   Jupyter Notebook

6. COMPASS--Context-Optimization-Model-Performance-Assessment-for-Sequence-Strategies- COMPASS--Context-Optimization-Model-Performance-Assessment-for-Sequence-Strategies- Public

   COMPASS quantifies edge LLM efficiency across variable document lengths (1k–22k tokens). Comparing Cosine RAG with 128K long-context ingestion, our benchmark demonstrates that RAG cuts time-to-firs…

   JavaScript