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You will get Object Detection and Tracking Using YOLO model, Pytorch, Python,

Srabani D.Status: Offline
Srabani D.
Rising Talent
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Let a pro handle the details

Buy Other AI & Machine Learning services from Srabani, priced and ready to go.
Srabani D.Status: Offline
Srabani D.
Rising Talent
Play video
Preview imagePreview imagePreview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Srabani, priced and ready to go.

Project details

You will get labeled image custom data set, trained with YOLO V8 model in Pytorch environment using GPU up to 100 epochs and implementation code using python script.
AI Development Type
Deep Learning, Model Tuning, Recommendation System
AI Tools
Azure Machine Learning, Keras, MLflow, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlow
AI Development Language
Python
What's included
Service Tiers Starter
$800
Standard
$1,666
Advanced
$3,000
Delivery Time 7 days 15 days 30 days
Number of Revisions
102
AI Model Integration
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Detailed Code Comments
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Knowledge Graph
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Model Documentation
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Ontology
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Source Code
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Taxonomy
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Optional add-ons You can add these on the next page.
Data set Preparation (+ 5 Days)
+$1,500
Srabani D.Status: Offline

About Srabani

Srabani D.Status: Offline
Senior Data Scientist - LLM - Computer Vision - AI Engineer
Kanchrapara, India - 10:03 am local time
Highly skilled and results-driven Data Scientist and Data Analytics Engineer with expertise in developing innovative data-driven solutions for real-time safety monitoring, chatbot automation, recommendation systems, and predictive analytics. Demonstrates a strong ability to harness cutting-edge machine learning models, large language models, and data visualization techniques to extract insights and enable proactive decision-making. Proficient in end-to-end model deployment and integrating predictive insights into business processes.

Key Projects:

1. Real-time Object Detection and Classification for Enhanced Safety
Objective: Improved safety systems by implementing early-stage notifications.
Skills and Technologies: Python, Streamlit, Pandas, PyTorch, OpenCV, scikit-learn, YOLOv8,
Matplotlib
2. Chatbot using Large Language Models (LLMs)
Objective: Fine-tuned Llama model using prompting, optimizing its performance.
Skills and Technologies: Python, Streamlit, HuggingFace
3. Predictive ML Model
Objective: To estimate production timelines for enhanced business decision-making and process improvement.
Skills and Technologies: Python, scikit-learn, Power BI, Pandas
4. Recommendation System
Objective: Recommendation engine to enhance business growth and facilitate customer experience.
Skills and Technologies: Python, scikit-learn, Pandas, Numpy, PowerBI
5. Data Collection and Cleaning
Skillset: Gathering data from diverse sources and preparing it for analysis, which includes handling missing values, outliers, and ensuring data quality.
Tools: SQL, Python (pandas), R, Excel
6. Data Wrangling and Transformation
Skillset: Manipulating data structures to make it analysis-ready, including data merging, reshaping, and feature engineering.
Tools: Python, R, SQL, Alteryx
7. Statistical Analysis and Mathematics
Skillset: Applying statistical techniques to analyze data, including hypothesis testing, regression analysis, and probability.
Tools: R, Python (statsmodels), SAS, MATLAB
8. Data Visualization and Storytelling
Skillset: Translating complex data insights into visual formats and narratives that are accessible to non-technical stakeholders.
Tools: Tableau, Power BI, Excel, Python (matplotlib, seaborn)

Core Competencies:
Data Analysis and Visualization
Data Preprocessing and Model Training
Large Language Model Fine-tuning and Prompt Engineering
Real-time Data Monitoring and Visualization
Predictive Analytics and Machine Learning
Effective Stakeholder Communication and Business Intelligence
Combines a rigorous technical foundation with a strong business-oriented mindset, consistently delivering actionable insights and robust solutions to complex industrial challenges.

Skills

Machine Learning Libraries - NumPy, Pandas, OpenCV, Matplotlib, Seaborn, Math, Statsmodels
Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree, KNN, Random Forests, Naïve Bayes, Bagging and Boosting algorithm, PCA, K - Means Clustering
Deep Learning Models - NLP, CNN, RCNN, LLM using Tensorflow, Pytorch, Keras Framework
Artificial Intelligence Models - Object Detection, Object Tracking, Classification, Segmentation
Exploratory Data Analysis - Elements of Structural Data, Mean, Median & Robust estimates, Standard Deviation, Variability estimates, Mode, Expected Value, Statistics and Probability
Testing - A/B,Hypothesis, Unit
Visualization Tool - PowerBI
Database - MS SQL
Programming Language - Python
Model Deployment - Azure DevOps Services, Azure AI Services, Cloud Services, CI/CD Pipeline

Steps for completing your project

After purchasing the project, send requirements so Srabani can start the project.

Delivery time starts when Srabani receives requirements from you.

Srabani works on your project following the steps below.

Revisions may occur after the delivery date.

Discussion about the project

Data Set size, Model Training Epochs, Model implementations

Review the work, release payment, and leave feedback to Srabani.