Visva V
VisvaV
I commit my code at 3AM, regret by 3:01
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A web-based application for analyzing historical weather data and forecasting future trends using advanced statistical models. Built with Python and Flask, the app provides interactive visualizations, stationarity tests, and predictions using ARIMA and SARIMA models.
This repository is a clean, educational reimplementation of Andrej Karpathy's micrograd project. It includes: - A minimal autograd engine (`Value` class) built from scratch - Neuron, Layer, and MLP abstractions built directly on top of `Value` - Manual training loop using scalar-based backpropagation along with Visualization
An efficient and customizable autocomplete system using a compressed trie data structure. The system provides predictive text suggestions, phonetic matching, and frequency-based predictions with a robust and interactive menu-driven interface.
The ROPE data structure is an efficient way to store and manipulate long strings using a binary tree-like structure. It supports fast operations like splitting, concatenating, inserting, and deleting substrings.
A Python package for analyzing and visualizing student data using Pandas, Matplotlib, and Tkinter. It provides an intuitive GUI for loading, processing, and visualizing student performance and demographic data.
A comprehensive C++ OOPS project implementing a smart home automation system. It features various devices such as lights, thermostats, door locks, security cameras, and smart speakers, each with unique functionalities and settings.
Repositories
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A smart assistant that answers questions from uploaded documents using Gemini API and Retrieval-Augmented Generation.
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Convert natural language queries into SQL using LangChain and Google's Gemini model. This notebook demonstrates integration with Cloud SQL, query generation, automated execution, and response rephrasing. Ideal for AI-powered database interactions and automated analytics workflows.
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Using PaddleOCR for prescription drug label extraction.
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A Flask + MySQL-based educational management system for course enrollment, progress tracking, assignment submissions, quizzes, and badge awards. Implements advanced DBMS features like procedures, triggers, views, and analytics for students and teachers.
A lightweight French-to-English translation model using the Helsinki-NLP/opus-mt-fr-en transformer with real-time conversational interface.
A multi-threaded C++ banking system simulating real-world operations with concurrency, IPC, file persistence, and admin controls
A lightweight RAG-based Question Answering System using Sentence-Transformers for semantic retrieval and Google Gemini for natural language generation
A web-based application for analyzing historical weather data and forecasting future trends using advanced statistical models. Built with Python and Flask, the app provides interactive visualizations, stationarity tests, and predictions using ARIMA and SARIMA models.
No description provided.
This repository is a clean, educational reimplementation of Andrej Karpathy's micrograd project. It includes: - A minimal autograd engine (`Value` class) built from scratch - Neuron, Layer, and MLP abstractions built directly on top of `Value` - Manual training loop using scalar-based backpropagation along with Visualization
An efficient and customizable autocomplete system using a compressed trie data structure. The system provides predictive text suggestions, phonetic matching, and frequency-based predictions with a robust and interactive menu-driven interface.
The ROPE data structure is an efficient way to store and manipulate long strings using a binary tree-like structure. It supports fast operations like splitting, concatenating, inserting, and deleting substrings.
A Python package for analyzing and visualizing student data using Pandas, Matplotlib, and Tkinter. It provides an intuitive GUI for loading, processing, and visualizing student performance and demographic data.
A comprehensive C++ OOPS project implementing a smart home automation system. It features various devices such as lights, thermostats, door locks, security cameras, and smart speakers, each with unique functionalities and settings.
A scientific computing project that utilizes stochastic matrices in Markov chains to simulate and analyze probabilistic state transitions. It provides a comprehensive toolkit for generating matrices, simulating chains, and visualizing key metrics like steady-state distributions and convergence.