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Deep Learning | Computer Vision | AI & Machine Learning
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Oracle
Computer Vision
June 13, 2026 – Present
TensorFlow-Developer-Specialization
June 13, 2025 – October 16, 2025
Populating all my Jupyter notebooks as part of the DeepLearning.AI's TensorFlow Developer Specialization. This specialization consists of 4 courses on topics like Introduction to TensorFlow, Computer Vision, Natural Language Processing (NLP) and Sequence time predictions.
View ProjectMining-Threat-Detection
November 9, 2022 – November 9, 2022
Mining is a dangerous task and we aim at creating a new helmet with IoT and Microcontrollers that will take care of the miners and help them remain safe.
View ProjectWeb-Mining--NLP-Codes
January 9, 2022 – February 8, 2022
Web-Mining--NLP-Codes — GitHub repository
View ProjectEmotion-Recognition-using-Facial-Expressions
August 17, 2021 – December 12, 2021
Deep learning models for emotions classfication using images of people's faces. Transfer learning has been used on top of models like DenseNet 169 and MobileNetV2. This project also includes a webUI that has been created using Streamlit.
View ProjectWine-Quality-Estimator-and-Type-Predictor
June 29, 2021 – June 30, 2021
Neural Network to estimate wine's quality and its type
View ProjectTensorFlow-Advanced-Techniques
June 26, 2021 – Present
Repository containing advanced tensorflow techniques and models learnt as part of the Advanced TensorFlow Techniques specialization by DeepLearning.AI & my own models
View ProjectEvent-registration-management-system-DBMS-project-
June 4, 2021 – October 13, 2024
DBMS project -> Event registration and management system
View ProjectIoT-Inventory-Management-System
April 27, 2021 – December 2, 2021
IoT project to detect the number of boxes in the inventory using Ultrasonic Sensors
View ProjectData-Structures-Algorithms-codes
October 15, 2020 – Present
My DSA codes from websites like Leetcode, InterviewBit, CodeChef in programming languages like Java, Python, cpp. This is an effort to project my thinking for the codes. Lets discuss more if you can refine my thinking.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong passion for learning and applying new technologies, particularly in AI/ML and IoT, through numerous personal projects. The diversity of projects, from deep learning to embedded systems and web development, suggests a broad interest and willingness to explore different domains. The target role of 'Computer Vision' aligns well with the candidate's project focus. However, the lack of team-based projects or professional experience (beyond a future-dated role) makes it difficult to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive learning approach and an interest in sharing knowledge ('Lets discuss more if you can refine my thinking' in DSA project).