You will get advanced real-time dental disease detection with YOLO integration.
Project details
**Project Overview:**
Real-time dental disease prediction using YOLO model integration, offering a user-friendly interface and seamless healthcare system integration for efficient data management.
**Project Scope:**
• Predict dental diseases from X-rays using advanced algorithms.
• Analyze X-rays to identify potential issues.
• Integrate YOLO for accurate object detection.
• Deliver real-time predictions for quick decisions.
• Develop a user-friendly interface.
• Securely manage X-ray images and results.
• Seamlessly integrate with healthcare systems.
Objectives:
• Develop a platform to predict dental diseases from X-ray images.
• Implement YOLO model for precise detection and analysis.
• Provide real-time analysis and reporting.
• Create a user-friendly interface for easy use by dental professionals.
• Ensure secure storage and management of X-ray images and results.
**Achievements:**
• 98% prediction accuracy
• 30% faster X-ray processing
• 99% reduction in result generation time
• 25% improvement in user interface usability
• 20% boost in data management efficiency
Real-time dental disease prediction using YOLO model integration, offering a user-friendly interface and seamless healthcare system integration for efficient data management.
**Project Scope:**
• Predict dental diseases from X-rays using advanced algorithms.
• Analyze X-rays to identify potential issues.
• Integrate YOLO for accurate object detection.
• Deliver real-time predictions for quick decisions.
• Develop a user-friendly interface.
• Securely manage X-ray images and results.
• Seamlessly integrate with healthcare systems.
Objectives:
• Develop a platform to predict dental diseases from X-ray images.
• Implement YOLO model for precise detection and analysis.
• Provide real-time analysis and reporting.
• Create a user-friendly interface for easy use by dental professionals.
• Ensure secure storage and management of X-ray images and results.
**Achievements:**
• 98% prediction accuracy
• 30% faster X-ray processing
• 99% reduction in result generation time
• 25% improvement in user interface usability
• 20% boost in data management efficiency
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
BigDL, Google AutoML, MLflow, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, PyBrain, PyTorch, TensorFlow, TheanoAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$2,000
|
Standard
$4,000
|
Advanced
$7,000
|
|---|---|---|---|
| Delivery Time | 21 days | 40 days | 60 days |
Number of Revisions | 0 | 1 | 2 |
AI Model Integration | |||
Detailed Code Comments | - | - | |
Knowledge Graph | - | ||
Model Documentation | - | ||
Ontology | - | ||
Source Code | - | - | |
Taxonomy | - | - |
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About Chandan
AI/ML/LLM Architect | Deep Learning | Computer Vision | Generative AI
68%
Job Success
Noida, India - 10:55 am local time
🛠️ We are the group of Technology Enthusiastic Engineers. We provide all technology solutions to your business. We provide multiple type of skilled resources for every Time zone on immediate basis.
Areas of expertise:
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🧠 AI Components: ML, DL, NLP, LLM, Neural Network, Machine Vision, Voice Recognition, Human Intelligence etc.
🤖 LLM Models: chatGPT, Bard/Gemini, PaLM, LLaMA 2, LLaMA 3, Falcon 180B, Bloom, Claude, Cohere, Mistral, t5-flan etc.
🧠 AI Type : Generative AI, Conversational AI, Cognitive AI.
🤖 AI ChatBot: AWS Lex, Google Dialogflow, RASA, IBM Watson Assistant etc.
📡 LLM Serving Framework: vLLM, openLLM, TGI, Triton, Ray Serve, MLC LLM, CTranslate2 etc.
📚 AI Libraries: TensorFlow, Keras, PyTorch, NLTK, Spacy, openCV, coreNLP, Textblob, Scipy, scikit-learn, matplotlib, scikit-image, COCO, YOLO, HRNet etc.
🔧 Frameworks: Langchain, Django, Flask, FastAPI, Spring Boot 2, Microservices, Hibernate etc.
🗄️ Databases: FAISS, Chroma, Pinecone, Milvus, Oracle, MySQL, MongoDB, Sybase, Neo4J, GraphDB etc.
☁️ Cloud Services: Amazon Web Services (AWS), Microsoft Azure, Google Cloud, Oracle Cloud.
🌐 Languages Language: Python, Java, GO, JavaScript, Typescript, ReactJS, AngularJS, Nodejs, JQuery, HTML, CSS.
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Skills Summary:
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• 12+ Years of experience in AI & ML/DL & NLP, LLM Development using various technologies.
• Experience in Cognitive AI, Generative AI, Conversational AI solution implementation.
• Expertise into AI algorithm implementation for supervised/Unsupervised/Re-enforcement Learning and other AI implementation etc.
• Expertise in ML, NLP, LLM, Deep Learning, Online/Incremental learning etc.
• Expertise in opensource LLM tuning and deployment, Model like LLaMA2, Mistral, Bloom, MPT, Gemma etc.
• Expertise in LLM model quantization and Hardware specification (GPU/VRAM/CPU/CORE) for fast LLM inference.
• Expertise in implementation of Large multimodal like Gemini etc. into application solution.
• Expertise in implementation of LLM models like Bert, chatGPT (OpenAI and other model), PaLM, Bard/Gemini AI, LLaMA, Falcon, Bloom, Claude, Cohere etc.
• Expertise in Transfer Learning by using Google Bert Model and another custom model.
• Expertise in ML pipeline and ML cluster on AWS/GCP/Azure.
• Expertise in Model hyper parameters tuning and Model Training.
• Expertise in Unsupervised Topic modeling like LDA, LSA, NMF etc.
• Expertise in Model Training based big data using GPU/TPU Support etc.
• Expertise in Ray cluster for running ML or Non-ML tasks on multiple nodes parallel.
• Experience in dimensionality reduction techniques using PCA and PLS technique.
• Proficiency into Detect patterns using PCA-SVM technique.
• Expertise in Artificial Intelligence Libraries and Modules like NLTK, Spacy, coreNLP, Textblob, Scipy, scikit-learn, Tensorflow, Keras, pytorch, gensim, SymPy, nose, pypiwin32, scikit-image, COCO, YOLO, HRNet etc.
• Expertise in Python Libraries and Modules like matplotlib, numpy, pandas, openpyxl, docx, pptx, csv, linecache, pyautogui, pyhook, pywinauto, scipy, html5lib, py-translate, sys, os etc.
• Proficiency in latest Python and Django and Flask framework.
• Strong database skill using FAISS, Chroma, Pinecone, Milvus, Oracle, MySQL, Mongo DB, Sybase, Neo4J etc.
• Proficiency in Python 2/3 and its Implementation like Jython, Cython etc.
• Expertise in Core Java, J2SE (Swing, AWT, Event), J2EE (Servlet, JSP, JSTL), Struts, Spring, Hibernate, JDBC Technology.
• Expertise in latest Spring Boot framework and Microservices.
• Expertise in AWS Platform like EC2, RDS, VPC, S3, Outposts, ELB, Sagemaker, Security Groups, Lambda Function etc.
• Expertise in Ontology & Semantic Web Data Storage and RDF/OWL mapping.
• Expertise in schema and design semantic data model on OWL, Triples, RDF etc.
• Expertise in Apache Jena Fusuki Server and GraphDB and protege etc.
• Proficiency in latest PySpark framework
• Proficiency in latest Spark and Dask.
• Expertise in Restful and Soap Web Services.
• Expertise in writing the any application architecture from scratch.
• Expertise in code review and code sanitization & code refactoring and testing/debugging etc.
• Expertise in object-oriented programming (oops) and design pattern and design principal implementation.
• Expertise in core and framework level programing for best solution.
• Good knowledge of code optimization, reducing code redundancies and writing clear & loosely coupled code & logic.
• Expertise in writing stories and their points into any sprint and applying agile methodology implementation.
• Have experience in technical team lead and Individual technical contributor as well.
Steps for completing your project
After purchasing the project, send requirements so Chandan can start the project.
Delivery time starts when Chandan receives requirements from you.
Chandan works on your project following the steps below.
Revisions may occur after the delivery date.
Receive Project Details:
Client provides X-ray images, system access, and disease prediction goals.
Data Analysis and Model Integration:
Analyze X-ray images and integrate YOLO model for prediction.