Srinija Reddy Peddabavi

B.E. Computer Science student · AI/ML and Full-Stack Developer

Hyderabad, Telangana, India

@srinija_reddy_peddabavi

0 followers

🎓 B.E. in Computer Science and Technology at Osmania University · Graduating 2027

About

Computer Science and Technology student at MVSR Engineering College with experience in AI/ML, full-stack web development, and backend API integration. Builds projects using Python, FastAPI, React.js, Node.js, MongoDB, and MySQL.

Experience

AI/ML Virtual Internship

EduSkills / AICTE
Android Developer Virtual Internship

EduSkills / AICTE

Education

2027

B.E.

MVSR Engineering College

Awarded by Osmania University

Computer Science and Technology · Sep 2023 – Jul 2027

Computer Science and Technology · Sep 2023 – Jul 2027
2023

Intermediate

Narayana Junior College

MPC · Jun 2021 – Apr 2023

MPC · Jun 2021 – Apr 2023
2021

SSC

Mount Carmel Global School

2020 – 2021

2020 – 2021

Skills

<3 months

C SQL CSS HTML Java LLMs React Python FastAPI Node.js JavaScript Deep Learning Cloud Computing Data Structures Machine Learning Computer Networks Operating Systems Software Engineering Database Management Systems API Integration Understanding Convolutional Neural Networks

Tools / apps / platforms

<3 months

MySQL GitHub MongoDB VS Code

Projects

Healthcare Management Website

HTML, CSS, JavaScript, Node.js, MySQL

Developed a full-stack healthcare management web application for appointment booking and patient management using Node.js and MySQL. Implemented CRUD operations and relational database queries in MySQL to manage patient and appointment records. Designed a responsive and user-friendly front-end interface using HTML, CSS, and JavaScript.
Healthcare Management Website

HTML, CSS, JavaScript, Node.js, MySQL

Developed a full-stack healthcare management web application for appointment booking and patient management using Node.js and MySQL. Implemented CRUD operations and relational database queries in MySQL to manage patient and appointment records. Designed a responsive and user-friendly front-end interface using HTML, CSS, and JavaScript.
Signature Verification System

Python, CNN, React.js, Node.js, REST APIs

Created a CNN-based image classification model to distinguish genuine vs forged signatures. Implemented a full-stack application with RESTful APIs for real-time prediction. Optimized image preprocessing and inference pipeline to reduce prediction latency. Developed a React-based interface for result visualization.
Signature Verification System

Python, CNN, React.js, Node.js, REST APIs

Created a CNN-based image classification model to distinguish genuine vs forged signatures. Implemented a full-stack application with RESTful APIs for real-time prediction. Optimized image preprocessing and inference pipeline to reduce prediction latency. Developed a React-based interface for result visualization.
Medical Triage Chatbot (CareBot)

Python, LLM, FastAPI, MongoDB

Built an LLM-powered conversational AI system for medical triage and symptom analysis. Developed a FastAPI backend with REST APIs to handle real-time user queries and model inference. Designed a multi-agent architecture for adaptive, context-aware questioning and response generation. Integrated MongoDB for persistent session and conversation tracking.

Courses & certifications

AIML Certification · Infosys Springboard
AWS Cloud Foundations · AWS
Essentials in C and Python · Cisco
Android Developer Virtual Internship · EduSkills / AICTE
AIML Virtual Internship · EduSkills / AICTE
AIML Certification · Infosys Springboard
AWS Cloud Foundations · AWS
Essentials in C and Python · Cisco
Android Developer Virtual Internship · EduSkills / AICTE
AIML Virtual Internship · EduSkills / AICTE

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