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Hey there!

I'm Chhavi J Singh

Currently pursuing my B.Tech in IT (2025 batch). My passion for technology is matched only by my insatiable curiosity. I thrive on diving deep into the latest innovations and exploring how they shape our world. Being a naturally creative soul, I find joy in turning ideas into reality, whether it's through coding, designing, or experimenting with new technology.

About

A glimpse of my identity and what motivates me. From academic achievements to hands-on experience, explore how my journey has molded my passion for technology and creativity.

Achievements

Winner of WEHack 2024 organized by Reskill and Microsoft Azure in Banasthali Vidyapith (2/24)

All over Runner Up in Mayukh (College Techfest) (2/23)

Our team made it to the Top 10 in the IIT-BHU Hackathon (Jagriti) (3/24)

Skills & Experience

My Skills

HTML
CSS
Javascript
Bootstrap
Javascript
AI
Flutter
ML
AI Research Intern

2/2024 - Present

GreenPepper AI
Intern

4/2023 - 4/2024

Team Temple India
Graphic Design

6/2023 - 12/2023

Malecon Technologies
Tech Team Lead

1/2024 - Present

Central DAO
BTech IT

2021 - 2025

Banasthali Vidyapith
12th - PCM

2020 - 2021

GVN - The Global School, Bhopal

My Projects

Projects

Vaykay

A dynamic travel website with AI integration for personalized recommendations, showcasing local events, interactive maps, and a user-generated blog for authentic travel experiences

TransportVisionAI

A web-based application that enables users to upload transportation-related images (such as traffic camera images) and perform object detection on those images.

FINBUD

An AI-based Android Application that provides a comprehensive and user-friendly platform for managing personal finances.It encourages responsible spending habits and invigorates the students to meet their goals.

RentITBV

A platform for college students, which allows them to quickly and affordably access a wide range of items for short term use.

Mental Health Detector

I've created a Gradient Boosting Classifier ML model for mental health detection using a dataset of 2004 individuals' narratives, each with responses to nine standardized questions. The model predicts mental health conditions based on these responses.

IT 302 Lab