Akhila Sanga's Projects
FOOD RECIPE an Android application
Meal Planning System
Contribute to this repository by Adding Your Projects or any impressive Programs or anything related to Programming.
hacktoberfest, hacktoberfest-accepted, hacktoberfest2023
Make your first Pull Request on Hacktoberfest 2023. Don't forget to spread love and if you like give us a āļø
Add your own CSS Animations for any of the component for contribute in this repository
HacktobeFest 2023 is live. Make your 4 Pull Request here ! Add your own projects, UI/UX Design, Blogs or improve the projects in the repository. Make sure to add your own work.
Designed and implemented an Image Caption Generator by combining Convolutional Neural Networks (CNN) for image feature extraction and Long Short-Term Memory (LSTM) networks for sequential data processing. This project aimed to bridge computer vision and natural language processing domains to automatically generate descriptive captions for images.
Basic Programs
I recently designed a Temperature Converter website using HTML, CSS, and JavaScript. It offers a user-friendly interface for converting temperatures between Celsius, Fahrenheit, and Kelvin. HTML provided the structure, CSS ensured an appealing design, and JavaScript made it interactive and responsive.
This is my website "THE LANDING PAGE" Task 1 of Oasis to design a website using HTML and CSS
I designed my portfolio by showcasing my best work, including projects, skills, and achievements, to represent my abilities effectively. I have used typed.js in home section gives another look and feel also making it responsive and used dark and light modes.
Built a user management system with MongoDB for database management and Express.js for server-side operations. Implemented CRUD operations to manage user data effectively.
I have developed the travelling website where visitors / tourists can visit fine monuments and unseen places in India, Our cultural and heritage, tribe To watch the website visit: https://AkhilaSanga/
This project addresses the challenge of weed and crop management in agriculture by utilizing machine learning and image processing. By accurately identifying and classifying weeds and crops in user-uploaded images, it empowers farmers to make informed decisions about field management.