π Final Year Computer Science Engineering Student
π Smart India Hackathon 2023 Winner
π» Full-Stack Developer (.NET) | AI/ML Enthusiast
I enjoy building scalable backend systems, real-world web applications, and applying machine learning to solve impactful problems.
Languages:
Python, Java, C, C#, JavaScript
Backend & Web:
ASP.NET MVC, ASP.NET Core Web API, Node.js, Express.js
Frontend:
HTML, CSS
Database:
SQL Server, MySQL, MongoDB
AI/ML:
Deep Learning, Data Analysis, TensorFlow, Scikit-learn, Pandas, NumPy
Tools:
Git, GitHub, Visual Studio
Python Β· Machine Learning
Built predictive models using Gradient Descent and forecasting techniques to analyze and predict AQI levels in India.
Deep Learning Β· MobileNet Β· InceptionV3
Developed an AI-based model for bird species classification with improved accuracy through optimization and preprocessing. Published in ELCVIA and IEEE.
ASP.NET Core Web API Β· MVC Β· SQL Server
A full-stack application for searching, booking, and managing flights with real-time seat availability and admin control.
ASP.NET Core Web API Β· MVC Β· SQL Server
A platform to report, track, and recover lost items with image upload and role-based access.
- π₯ Smart India Hackathon 2023 Winner (Government of India)
- π₯ CodeChef Gold Badge β 500+ algorithmic problems solved
- π SAE INDIA Technical Paper Presentation Winner (Zonal & State)
- π Code Fusion Challenge Winner (GDSC)
- π Image Classification for Wildlife Conservation β Published in ELCVIA (2024)
- π Air Quality Prediction β Accepted in IEEE Conference Proceedings
- π©βπΌ GDG Cloud Lead
- π― Class Representative
- π’ Event Manager β CSI
- πΌ LinkedIn: https://www.linkedin.com/in/dheetchana-k-4773b1255
- π§ Email: dheetchana04@gmail.com
- π§βπ» GitHub: https://github.com/Dheetchana04
β Passionate about learning, building, and growing as a developer every day.