Hi, I’m

Sindhu Kodati

A Computer Science student passionate about AI/ML, Cloud Computing, and building clean, scalable software solutions.

Tech Expertise

The tools and technologies that power my engineering journey

💻 Languages

Python Java JavaScript C / C++ HTML/CSS SQL / MySQL / Oracle

🧠 AI & ML

TensorFlow Scikit-learn OpenCV NLP Pandas Deepfake Detection

🛠️ Tools & Frameworks

Streamlit Git Linux Google Colab AWS ServiceNow

My Journey

The experiences that strengthened my technical foundation

Jun 2024 – Jul 2024

ServiceNow Platform Intern (Virtual Internship — AICTE & SmartBridge)

  • Completed hands-on training in ServiceNow Administration Fundamentals, Flow Designer and Reports.
  • Built and tested digital workflows using Flow Designer & Automated Test Framework (ATF).
  • Configured access controls, forms, dashboards and prepared for CSA exam.
  • Explored Agentic AI use cases to automate enterprise workflows.
Apr 2024 – May 2024

AI/ML Intern — Gustovalley Technovations

  • Developed and fine-tuned ML models using Scikit-learn, improving accuracy by 25%.
  • Automated preprocessing pipelines — reduced manual effort & training time by 30%.
  • Performed EDA, feature engineering and visualized model metrics with Matplotlib & Pandas.
Jul 2024 – Sep 2024

Cloud Intern — AWS Academy (EduSkills)

  • Deployed ML services using AWS Lambda, S3, and API Gateway.
  • Implemented IAM policies and cloud basics (improved security posture).

Featured Projects

Innovative projects highlighting my engineering expertise

Deepfake Detection and Attribution

AI-powered system that identifies manipulated videos using CNNs, TensorFlow and OpenCV. Deployed lightweight inference web app (Flask).

Python • TensorFlow • OpenCV • Flask

Live Cryptocurrency Price Dashboard

Real-time dashboard fetching Binance API with hybrid anomaly detection (ML + statistical methods). Built with Streamlit and Pandas.

Python • Streamlit • Pandas • Binance API

Market Sentiment Analysis

Python • NLP • Machine Learning • Streamlit

A machine learning–based system that analyzes financial news, social media data, and market indicators to classify sentiment into positive, negative, or neutral using NLP techniques.

Python • NLP • Machine Learning • Streamlit

Face Recognition Attendance System

Automated attendance system using real-time facial recognition (OpenCV, LBPH), Tkinter frontend and SQLite backend.

Python • OpenCV • TKinter • SQLite

Feed the Needy

Food donation platform to reduce waste and connect donors with NGOs.

HTML • JS • Google Maps API

Weather Forecaster

Weather forecasting app using public APIs and time-series visualization.

JS • APIs • Visualization

Let’s Connect

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your visions. Feel free to reach out through any of these channels.