Passionate about building innovative solutions that bridge the gap between machine learning and real-world applications. Currently pursuing my B.Tech while actively developing projects that combine my expertise in AI/ML, mobile app development.
Deep diving into Deep Learning and AI concepts.
Learning DL algorithms and underlying mathematics.
Reading research papers regularly to stay ahead.
Exploring new technologies and modern AI trends.
I work with a diverse set of technologies and tools, constantly expanding my skill set to stay at the forefront of software development and machine learning.
Digital Guru (Remote)
Developed a Python-based web app using Streamlit that allows users to upload CSV files and generate detailed dataset reports. The app supports a wide range of data preprocessing and analysis features, including data cleaning, encoding, scaling, outlier detection and removal, smoothing, and visualization through charts. Users can also download ready-to-use scikit-learn pipeline code for their datasets and leverage various other advanced data processing functionalities.
Built a tone generator app that generates AI-powered tones based on user prompts and mood detection. Integrated an AI chatbot for smart prompt generation and general-purpose interactions. Implemented a subscription model with Google Pay (UPI) payment integration to unlock premium features. The app is live on Play Store with 1000+ downloads.
Built an automated AI agent using n8n and Ollama that fetches the latest Hacker News stories, summarizes each article using a locally hosted LLM, and delivers a clean, formatted daily digest directly to email. The workflow handles URL extraction, content fetching, summary generation, HTML formatting, and automated message delivery—fully end-to-end without manual intervention.
Built a comprehensive financial management application with ML powered bill scanning, spending analysis, and predictive insights. Features include real-time transaction tracking, smart bill recognition, interactive analytics, and personalized financial forecasts.
Created and published the no_code_api_connector package on pub.dev with 200+ downloads. It simplifies REST API integration through JSON-based configuration and supports authentication, multiple HTTP methods, and automatic request/response handling—reducing boilerplate and speeding up development.
Created a Python-powered voice assistant that responds to voice commands to generate images, play music, perform web searches, manage to-do lists, and execute multiple system and online tasks. Integrated speech recognition, text-to-speech, and external APIs to enhance functionality and user convenience.
A simple web-based memory matching game built using HTML, CSS, and JavaScript. The player flips two cards at a time and tries to find all matching pairs. If the cards don't match, they flip back, challenging the player’s memory and focus. The game features a clean interface, smooth flip animations, and randomized card positions for replayability.
Darshan University, Rajkot
Modi School, Rajkot
Parishram School, Bhanvad