Computer vision & AI| Kaggle Competition Expert
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PDF_CSV_VISION_DRAGGING_BASED_CHATBOT_WITH_TRANSLATOR_AUDIO_USING_GEMINIAI
December 14, 2023 – May 17, 2024
GeminiAPI_PALM_Chatbot (Audio, Vision, Prompt, Multiple-PDF and addon translator)
View ProjectTensorflow_Certification_Practice
October 24, 2023 – October 27, 2023
Tensorflow_Certification_Practice — GitHub repository
View ProjectObjectMeasureMent_DL_CV
August 9, 2023 – August 24, 2023
Traditional and DeepLearning Methods
View ProjectPdf_Website__Csv_Based_ChatBot_With_Translator_Using_Streamlit
June 3, 2023 – March 20, 2024
OpenAI API _ Chatbot implementation
View ProjectAttendanceSystem-JetsonAGX
April 8, 2023 – November 8, 2023
Edge device - Creating a system for tracking attendance with the AGX Xavier device
View ProjectTraditional_and_Deeplearning_Based_Segmentation
December 18, 2022 – May 5, 2024
Traditional_and_Deeplearning_Based_Segmentation — GitHub repository
View ProjectPoseEstimation_Segmentation_BackgroundRemoval_Deeplearning
November 28, 2022 – August 23, 2023
PoseEstimation_Segmentation_BackgroundRemoval_Deeplearning — GitHub repository
View ProjectTraditional-and-Deeplearning-based-EdgeDetection
October 29, 2022 – November 6, 2022
Traditional-and-Deeplearning-based-EdgeDetection — GitHub repository
View ProjectFootball_TeamDetection_PersonCount
May 12, 2022 – May 12, 2022
Team_Separation and Counter the team members
View ProjectCultural Fit Analysis
The candidate demonstrates a strong interest and initiative in Computer Vision through numerous personal projects. The diversity of projects, ranging from chatbots with vision capabilities to attendance systems and object measurement, indicates a broad exploration within the target role's domain. This aligns well with a culture that values self-driven learning and practical application. However, without information on team collaboration or professional experience, a full cultural fit assessment is limited.
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 style.