Jeevithan R R
Coimbatore
Summary
Motivated and detail-oriented Full Stack Developer with a strong foundation in Python-based web development. Currently pursuing B.Tech in Computer Science and Engineering (Artificial Intelligence), with hands-on experience in building secure, scalable, and user-centric web applications. Proficient in developing end-to-end solutions involving backend logic, frontend interfaces, authentication systems. Worked on real-world projects showcasing skills in system design, backend architecture, data handling, and dashboard development.
Overview
4
4
Certifications
2
2
Languages
Work History
Networking
Cisco
- Completed a virtual internship under Karunya University, focusing on enhancing practical knowledge and technical exposure in the field of Computer Science and Artificial Intelligence. The internship experience helped in bridging theoretical concepts with real-time applications, strengthening skills in problem-solving, collaboration, and industry readiness. It provided valuable insights into the expectations of modern workplaces and encouraged self-driven learning and innovation.
Python Programming, Data Hub
DevSkill
- Successfully completed an AICTE approved internship in Python Programming offered by DevSkill. The internship focused on core programming concepts including data types, control structures, functions, file handling, and object-oriented programming in Python. It provided a strong foundation for developing applications and solving real-world problems using Python. This experience enhanced my coding proficiency, logical thinking, and prepared me for applying Python in domains such as data science, automation, and software development.
Education
B.Tech - CSE(Artificial Intelligence)
Karunya Institute of Technology And Sciences
Coimbatore,Tamil Nadu01-2026
Class XII -
Sri Vijay Vidyalaya Higher Secondary Matriculation School
Hosur, TamilNadu01-2021
Class X -
Sri Vijay Vidyalaya Higher Secondary Matriculation School
Hosur, TamilNadu01-2019
Skills
Python Developer
Frontend Developer
Full Stack Developer
Backend Developer
UI Developer
Teamwork and collaboration
Certification
Hackathon : Bi3 Technologies
Timeline
Networking
Cisco
Python Programming, Data Hub
DevSkill
B.Tech - CSE(Artificial Intelligence)
Karunya Institute of Technology And Sciences
Class XII -
Sri Vijay Vidyalaya Higher Secondary Matriculation School
Class X -
Sri Vijay Vidyalaya Higher Secondary Matriculation School
TECH STACK
Freshness Detection of fruits and Vegetables
- Programming Language: Python – Used for backend development, machine learning model implementation, and data processing.
- Backend Framework: Flask – Handles API routing, model integration, request processing, and server-side logic.
- Frontend & UI: HTML, CSS, JavaScript – For building a responsive web interface. Streamlit – For interactive dashboards showing freshness status, confidence scores, and inventory insights.
- Machine Learning & Deep Learning: Convolutional Neural Networks (CNN) – For image-based freshness classification. TensorFlow / PyTorch – Model training, testing, and inference. Scikit-learn – Data preprocessing and model evaluation.
- Computer Vision: OpenCV – Image preprocessing, real-time image handling, and feature enhancement.
- Database & Storage: SQL / Cloud Database (Firebase, Cloud Firestore) – Stores product details, freshness history, and inventory records.
- Visualization & Analytics: Matplotlib – Model performance visualization and analysis.
- Deployment & Tools: Docker (optional) – Containerization for scalability. Google Cloud Platform (optional) – Cloud deployment and storage.
Smart Toll Management System (Flask)
- Programming Language: Python – Core language for backend logic, toll calculation, data processing, and application workflows.
- Backend Framework: Flask – Used to develop the web application, handle routing, implement business logic, and build RESTful APIs.
- Frontend & UI: HTML, CSS, JavaScript – For designing responsive user interfaces and interactive dashboards.
- Database & Storage: SQL / Cloud Database – Stores vehicle details, user profiles, toll plaza information, and transaction history with data integrity.
- Authentication & Security: Flask-Login / JWT – User authentication, session management, and role-based access control for admins and users.
- Core Features & Logic: Automated toll calculation based on vehicle type and toll rules, real-time transaction logging, vehicle entry/exit tracking, and report generation.
- Visualization & Reporting: Dashboard interface – Displays toll collections, vehicle statistics, transaction summaries, and system activity.