The intersection of AI and ML is an area that I am extremely passionate about, and I am constantly amazed by the breakthroughs and innovations that are emerging in this space.
-
π± Iβm currently building R-TUβa privacy-first, CBT-aligned AI mirror. My focus is on end-to-end AI Product Management, LLM prompt architecture, and creating digital tools that actively reduce cognitive load.
-
π« How to reach me
-
π Pronouns: She/Her
"I am excited to be a part of this vibrant community, collaborating with others to explore the frontiers of what is possible and pushing the boundaries of AI and ML."
- AI Product Strategy & Lifecycle Execution
- LLM Orchestration & Prompt Architecture
- Generative AI & Audio-to-Text Pipelines
- Computer Vision & Deep Learning Systems
- Full-Stack Prototyping & MVP Development
| Name | About |
|---|---|
GamerDNA!  |
A machine learning-based application designed to analyze online gaming behavior and predict player engagement levels. Select relevants features to identify different player's gaming behavior. |
STT Translate & Transcribe!  |
Gradio_GenerativeAI Tool To Transcribe & Translate Audio. Enabling users to convert spoken words into written text. |
| Winged Wonders | A Deep Learning Approach to Butterfly Species Identification π¦πΏ (with Tensorflow framework, Data augmentation technique and MobileNetV3Large model pre-trained on ImageNet) |
| Potato Disease Detection | A Machine Learning Tool to Prevent the Spread of Potato Diseases π₯. Generating prediction based on 4 pre-trained models: RESNET, Inception, Xception & NASnetMobileVenn. Model performance is enhanced with Hyperparameter Tuning. |
| Heart Disease Predictor | A project aims to develop a machine learning model capable of predicting heart disease using a comprehensive dataset of key indicators π«. EDA π. A range of machine learning models, including Decision Trees, Random Forests, Gradient Boosting,...up to 13 comparisons and more. Hyperparameter Tuning using GridSearchCV and RandomizedSearchCV for highest test accuracy. |
| Clustering Connoisseurs | A Machine Learning system which accurately classify wines π· based on their chemical profiles, and provide insights into the characteristics of different wine styles.. Using a combination of exploratory data analysis EDA π, data preprocessing, feature scaling π§, and K-Means π to clustering, and πvisualization to identify patterns and relationships in the wine data. |
| Employee Management Program | A Python π software To Manage Employee Profile & Salary. With functions to Edit [Departments & Employee] profiles and Display net salaries. Combination of personal tax, late-coming days calculating and data parsing, re-serializing codes. |