Vrushank Dhande

Vrushank Dhande

Engineer

June 12, 2026 – Present

whatsapp-message-sender

May 9, 2026 – Present

Automated WhatsApp Message Sender built with Python and PyWhatKit. Easily send instant WhatsApp messages through WhatsApp Web with a clean, beginner-friendly implementation. Includes automation, error handling, and customizable messaging features.

voice-bot-streamlit

May 5, 2026 – Present

🎤 AI Voice Bot built with Python & Streamlit that records voice from the browser, converts speech to text, generates chatbot responses, and replies with voice output using gTTS. A simple cloud-ready Speech-to-Text → AI Response → Text-to-Speech application.testing the file

vectorless-rag

April 9, 2026 – Present

Implements a vectorless RAG architecture using PageIndex APIs and Groq LLMs, enabling efficient document retrieval and response generation without traditional vector databases.

F1-LangChain-App

March 21, 2026 – Present

A simple yet powerful Streamlit + LangChain + Groq LLM application that provides detailed insights about any Formula 1 team. This app chains multiple prompts together to generate structured and enriched information using LLMs.

Sentimental_Analysis

July 30, 2023 – August 15, 2023

The process of sentiment analysis utilizes natural language processing and machine learning methods to determine the emotional tone in a piece of text. This analysis categorizes sentiment as positive, negative, or neutral and is widely applied to comprehend people's opinions and emotions toward various subjects, products, services, or general text.

Bank-Behaviour-Scorecard-Master

September 18, 2022 – August 13, 2023

Provided Project Description: The bank has provided user's financial data and is requesting the creation of a predictive model. The goal is to develop a model capable of forecasting customers likely to default on their EMI payments. The project aims to assess the risk associated with transactions involving the transfer of credit amounts from bank

Ayurvedic-plant-Recognition-using-Yolov3

March 2, 2022 – August 12, 2023

This undertaking revolves around ayurvedic plants with medicinal applications. Given the abundant variety of plants in our environment, it's often challenging to discern their specific use cases. Consequently, I've developed an image recognition Machine Learning model that can accurately identify and categorize these plants.

Movie-Recommendation-System-Using-Machine-Learning

November 15, 2021 – August 10, 2023

This project employs machine learning techniques, focusing on the Vectorizer method. It extracts and preprocesses data like actors, genres, movie names, ratings, and IDs, resulting in a refined movie.csv file. Hosted on Heroku, the project employs .git files. Converging machine learning, web development, and data management, this project details.

Create-the-Decision-Tree-classifier-and-visualize-it-graphically.

July 21, 2021 – August 1, 2023

Create-the-Decision-Tree-classifier-and-visualize-it-graphically. — GitHub repository

Face-Recognition-Using-CNN

June 6, 2021 – August 30, 2023

In summary, I successfully completed a face recognition project using a high-accuracy CNN algorithm. The project involved recording videos, converting them to images, extracting faces, and storing them on Google Drive. To handle limited GPU access, I optimized the data and achieved an impressive accuracy of 0.9154.