Skip to content
View VedantSinha00's full-sized avatar

Highlights

  • Pro

Block or report VedantSinha00

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. LastOne-smoking-cessation-app LastOne-smoking-cessation-app Public

    Personalized, behavior-driven smoking cessation application built to track cravings, habit triggers, and progress metrics with localized feedback loops.

    TypeScript 1

  2. Personal_Tracker_application Personal_Tracker_application Public

    This is my very first attempt at building and improving an actual application using vibe coding. This smaller project is to help me understsand the process of making an application or a website tho…

    JavaScript

  3. RentBasket_Website RentBasket_Website Public

    Forked from hardik2704/RentBasket_Website

    Internal accounting, inventory, and role-based access control platform for RentBasket — built with double-entry ledger architecture, chart of accounts, and automated ticketing.

    JavaScript 1

  4. D2C-Decoding-Customer-Value D2C-Decoding-Customer-Value Public

    SQL-driven customer segmentation & retention analysis for a D2C fashion brand — honest-null methodology, Power BI dashboard, and a data-backed playbook. C&A Club Summer Projects '26, IIT Guwahati.

    HTML

  5. NL2SQL-Analytics NL2SQL-Analytics Public

    NL-to-SQL Analytics Assistant over 9-table MySQL database (~1.55M rows) built with LangChain, Gemini 3.1 Flash Lite, ChromaDB vector retrieval, and Streamlit.

    Python

  6. Zomato-Bangalore-Dashboard Zomato-Bangalore-Dashboard Public

    Bangalore Dining Market EDA & Interactive Tableau Dashboard analyzing 51k+ restaurant listings across pricing, ratings, and customer engagement.

    Python