Agentic Campus Assistant
An agentic AI-powered assistant that automates campus workflows through reasoning, retrieval, and real-world action.
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Pneumonia Detection Using CNN
Built a CNN-based model with 92% accuracy for pneumonia detection from X-ray images, featuring a real-time Flask-powered user interface.
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Neural Network Library and Taxi Trip Duration Prediction
Built a custom neural network library and applied it to model real-world NYC taxi trip durations with optimized performance.
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Search Engine using TF-IDF & Cosine Similarity
Built a TF-IDF-based search engine to retrieve the most relevant U.S. presidential inaugural speech using cosine similarity and inverted indexing.
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Decision Trees and Boosting for Predictive Modeling
Implemented Decision Tree, Random Forest, and AdaBoost from scratch to classify Titanic survival outcomes with custom-built algorithms.
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LLM-Powered Cold Email Generator for Job Applications
Built an AI-powered job application assistant using Groq-hosted LLaMA 3.3-70B, LangChain, and Prompt Engineering to generate personalized cold emails for job applications.
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House Price Analysis Model
Developed a machine learning pipeline to predict house prices in Bengaluru, applying feature engineering, outlier removal, and regression modeling.
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Cost-Optimized Expense 8-Puzzle Solver
Built a customizable two-pile Nim variation with AI powered by depth-limited MinMax and Alpha-Beta Pruning, supporting both standard and misère rules.
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Mav Chatbot
Mav Chatbot – LLM-powered assistant for UTA with hybrid retrieval, smart crawling, and real-time deployment.
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