Nidhi Agrawal: Full-Stack Developer & ML
Enthusiast
I'm a third-year B-Tech student at SGSITS, driven by a passion for building full-stack solutions that tackle real-world challenges. My journey involves combining technology and creativity, from developing smart study platforms to real-time fraud detection dashboards.
I have hands-on experience with technologies like React, Spring Boot, Flask, and various machine learning models. I actively participate in hackathons and research internships, constantly seeking opportunities to expand my knowledge and apply my skills.
Contact Nidhi
Academic Foundation
Shri G. S. Institute Of Technology And Science
B.Tech. Electronics and TeleCommunication Engg. | Expected June 2027
CGPA: 7.70/10.0 | Indore, MP
Key Courses
  • Digital System Design
  • Network Theory
  • Signals and Systems
  • Microprocessor and Microcontroller
  • Analog Circuits
  • Electromagnetic Waves
  • Electronic Devices
  • Analog and Digital Communication
Featured Projects
WalTrust: Real-Time Retail Fraud Detection
End-to-End System
Built a comprehensive fraud detection system to simulate and block suspicious retail activity in real time.
AI-Powered Dashboard
Deployed using Flask APIs and a trained XGBoost model integrated with SHAP explainability.
Key Features
Live session scoring, risk-based blocking/OTP flow, SHAP-driven insights, and CSV exports. Frontend built with React and Tailwind.
StudiFy: Student Study Portal
Full-Stack Academic Portal
Developed using Spring Boot APIs and JWT-based authentication, offering semester resources and career modules (Placements, GATE).
AI-Powered Dashboard
Deployed using Flask APIs and a trained XGBoost model integrated with SHAP explainability.
Tech Stack:
Spring Boot, React.js, PostgreSQL, REST APIs, JWT, Tailwind CSS
Kissan Mitr: Smart Farming Assistance
Real-Time Web App
Assists farmers with crop recommendations, weather updates, and government schemes using dynamic APIs and Firebase backend.
Enhanced Accessibility
Implemented multilingual support, intuitive UI, and personalized dashboards to serve rural communities effectively.
Tech Stack:
React.js, Firebase, Node.js, Express.js, REST APIs, Tailwind CSS
Research in Fault Detection
"Built a real-time unsupervised fault detection system for spacecraft sensors using multivariate time series (6 signals + 6 derivatives) and sliding-window processing."
As a Research Intern at Maulana Azad National Institute Of Technology, Bhopal, Nidhi developed an advanced fault detection system.
The system utilized a convolutional autoencoder model with adaptive thresholding, achieving an impressive 99.999% accuracy and a False Alarm Rate of 0.04 for onboard FDIR integration.
Technical Prowess & Achievements
Skills
  • Languages: Java, C, C++, JavaScript, Python (Pandas, Matplotlib, Numpy)
  • Tools & Frameworks: Spring Boot, Flask, React.js, Node.js, XGBoost, SHAP, Tailwind CSS
  • Operating Systems: Linux, Windows
  • Software Skills: Git, GitHub
  • DevOps & Platforms: Netlify, Render, VS Code, Jupyter Notebook
Key Achievements
  • Achieved max 1510 Contest Rating @LeetCode
  • Solved 100+ Questions on @LeetCode
  • 1st Prize SIH Internal Hackathon 2024 & Skillathon (#include Club)
  • Secured 94%tile in JEE Mains 2023
  • NPTEL Certification in DBMS Course- IIT Kharagpur
Leadership & Extracurriculars
Placement Coordinator
Training and Placement Cell, SGSITS (July 2024 – Present). Ensures seamless execution of end-to-end placement coordination processes for 50+ team members.
E-Summit Coordinator
E-Cell, SGSITS (Feb 2024 – Present). Managed on-ground logistics and assisted coordination for 500+ participants across multiple events.
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