Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Updated #1084

Merged
merged 2 commits into from
Jul 1, 2024
Merged

Updated #1084

Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
29 changes: 29 additions & 0 deletions profiles/[email protected]
Original file line number Diff line number Diff line change
@@ -1 +1,30 @@

# SNEHA C J

### About Me

> I am an MCA postgraduate, having completed the degree in 2024. With a strong foundation in computer science, i have skills in programming languages such as Python, Java, and C, and has worked with the Flask framework. I have an keen interest in machine learning and artificial intelligence, focusing on developing problem-solving programs. One of my notable projects involved using the Flask framework, highlighting their skills in web development and application design.


## Portfolio Highlights

### My Projects

| Name | Description | Hosted Link | Repo Link |
|---------------------|---------------------------------------------------------------------------|------------------------------------------|----------------------------------------------------------------|
| **Parkinson disease detection** | A machine learning project predicted Parkinson's disease using vocal feature data. Several models were tested, including Logistic Regression, Random Forest, SVM, KNN, and Gaussian NB. The Random Forest model achieved the highest accuracy at 92%, outperforming other models, making it the most effective for this task. | - | [Repo Link 1](https://github.com/Snehacj/Parkinsons-Disease-Detection--Final-Project) |
| **Sign Language Recognition** | The project harnesses Flask framework for web development, offering real-time sign language translation through webcam input. It empowers users by providing accessible communication tools, fostering inclusivity for the hearing impaired. Through efficient integration of sign language recognition, it facilitates seamless interaction via web-based platforms. | - | - |

#### Leadership and Influence:

- During my post graduation time i was career ambassador in KKEM. We were selected and got reward for completing the task given to us.I involved in all the task that are given to us and always try to motivate others to co-operate
- During my graduation time i was the leader for 2 years in that period there were several tasks were given and i completed that all with responsibility and the major task was a food fest organized, i made everyone to stand with me and with everyones co-operation the food fest was a successfull.

#### Certifications:

- Data Analytics : Successfully completed 6 month data analytics course from EduBridge India.
- Workshop on Data Science Projects : Completed 3 Day Workshop from Vidya Academy of Science and Technology.
- AI Workshop : 2 hr Workshop conducted online.


---
Loading