Hi, I'm Aashritha!

Welcome to my code.swecha.org profile.

About me

Aspiring software developer with a foundation in Python, C, and Java, seeking to enhance my skills in artificial intelligence and machine learning. I aim to contribute to innovative projects while advancing my expertise in large language models and AI technologies. Passionate about continuous learning and applying new technologies to solve complex problems.

Education

Bachelor of Science-Birla Institute of Technology And Science |Computer Science. Pilani Campus,Expected in July 2027.

Proffesional Experience

Intern, Swecha Telangana.
Hyderabad, India |May 2025 - Current.
• Currently an intern at Swecha, learning open source, LLMs, and Python.
• Interested in AI, ML, and community-driven tech projects.
• Eager to collaborate and learn new things!

Skills

• Python (NumPy, Pandas, Matplotlib, Streamlit)
• Java
• C Programming
• VSCode with relevant extensions (Jupyter, Python, NumPy, Pandas, Matplotlib support)
• Patran/Abacus

Projects

• Structural Health Monitoring using Deep Learning:
  Explored methods for detecting structural damage using deep learning and data generated from finite element models. Focused on combining simulation data with neural networks for accurate damage identification and predictive maintenance applications.
  View Project: https://drive.google.com/file/d/1EMNny3KW_EFXuX-3oKzljAKmGOG3iM5i/view?usp=drive_link

• Digital Twin for Structural Dynamics:
  Studied the creation of digital twins using finite element models and motion data to monitor and analyze the dynamic behavior of structures. Emphasized real-time monitoring and performance assessment using AI-enhanced computational methods.
  View Project: https://drive.google.com/file/d/1VV4Iz71qzqYRwgHOOMWix62HkIdYTvjB/view?usp=sharing

  Link: https://drive.google.com/drive/folders/1NlOqTP_N9iBkBU-F_VAweTxWifSLHF1l?usp=sharing

-Travel Scope – Smart Travel Assistant (Streamlit App). Designed and developed an interactive travel planning app that helps users explore destinations by providing multi-day weather forecasts, personalized itineraries, dining and sightseeing suggestions and live language translation. The app offers a user-friendly, tab-based interface for a seamless and engaging travel experience.

Contact

• phno - 855507715
• Email: [[email protected]]