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Realtime-Aircraft-Marshalling-Signals-Detection-Application-using-Mediapipe-and-LSTM-model
April 15, 2023 – April 24, 2023
Realtime-Aircraft-Marshalling-Signals-Detection-Application-using-Mediapipe-and-LSTM-model — GitHub repository
View ProjectBuilding_crack_classification_object_detection_android_app_using_Custom_yolov5
February 28, 2023 – April 15, 2023
Building_crack_classification_object_detection_android_app_using_Custom_yolov5 — GitHub repository
View ProjectHospital-Insurance-Claim-Fraud-Detection
January 15, 2023 – April 2, 2023
Hospital-Insurance-Claim-Fraud-Detection — GitHub repository
View ProjectTrash-detection-and-classification-using-YOLOv7
January 12, 2023 – January 12, 2023
Trash-detection-and-classification-using-YOLOv7 — GitHub repository
View ProjectFruit-disease-classification-using-MLOPS
January 12, 2023 – January 12, 2023
Fruit-disease-classification-using-MLOPS — GitHub repository
View ProjectTime-Series-Forcasting-using-Streamlit
January 8, 2023 – April 15, 2023
CNN-LSTM, N-BEATS and Ensemble Model
View ProjectDEEP-LEARNING-FUNDUS-IMAGE-ANALYSIS-FOR-EARLY-DETECTION-OF-DIABETIC-RETINOPATHY-
November 20, 2022 – November 20, 2022
A DL algorithm was used to automatically detect DR in fundus images. The algorithm was able to accurately detect DR in early stages, before it is symptomatic. This could potentially lead to earlier diagnosis and treatment of DR, which could help to prevent vision loss.
View ProjectDiabetic_retinopathy_detection_using_custom_CNN
November 5, 2022 – November 5, 2022
Custom made CNN model for Diabetic retinopathy classification.
View ProjectAI-surveillance-camera
June 19, 2022 – April 15, 2023
AI-surveillance-camera — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on deep learning and computer vision. While this demonstrates initiative and passion, there is no information regarding team collaboration, diverse project types beyond personal ML/DL, or engagement with broader data science ecosystems. This narrow focus, combined with the lack of professional experience, suggests a potential gap in cultural fit for a collaborative, multi-faceted data science role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication styles.