You will get real-time map generation from drone images with seamless integration.
Project details
This project provides real-time map generation from drone images, detecting features like roads and buildings with high accuracy. It offers seamless geospatial database integration, cloud storage, and an intuitive user interface.
Project Scope :
- Map Generation: Create detailed maps using drone images.
- Feature Detection: Identify and map features like roads, trees, and buildings.
- Integration: Seamlessly integrate with existing geospatial databases.
- Real-Time Processing: Process drone images in real-time for immediate map updates.
- User Interface: Provide an intuitive interface for users to view and interact with maps.
- Data Accuracy: Ensure high accuracy in feature detection and mapping.
- Cloud Integration: Utilize cloud services for storage and processing.
Achievements :
- Map Generation Efficiency: 99% faster map creation from drone images.
- Feature Detection Accuracy: 95% improvement
features.
- Real-Time Processing: 99% reduction in processing time for real-time updates.
- User Interface: 20% increase in user satisfaction with map interactivity.
- Data Integration: 15% enhancement in integration with geospatial databases.
Project Scope :
- Map Generation: Create detailed maps using drone images.
- Feature Detection: Identify and map features like roads, trees, and buildings.
- Integration: Seamlessly integrate with existing geospatial databases.
- Real-Time Processing: Process drone images in real-time for immediate map updates.
- User Interface: Provide an intuitive interface for users to view and interact with maps.
- Data Accuracy: Ensure high accuracy in feature detection and mapping.
- Cloud Integration: Utilize cloud services for storage and processing.
Achievements :
- Map Generation Efficiency: 99% faster map creation from drone images.
- Feature Detection Accuracy: 95% improvement
features.
- Real-Time Processing: 99% reduction in processing time for real-time updates.
- User Interface: 20% increase in user satisfaction with map interactivity.
- Data Integration: 15% enhancement in integration with geospatial databases.
AI Algorithms
Deep Belief Network, Generative Adversarial Network, Large Language Model, Linear Discriminant Analysis, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Self-Organizing Map, StyleGAN, YOLOAI Applications
AI-Enhanced Classification, AIOps, Conversational AI, Image Analysis, Image Processing, Image Recognition, Image Upscaling, Machine Translation, Natural Language Generation, Neural Machine Translation, Object Detection, Time Series AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, Copy.ai, GitHub Copilot, Hugging Face, Jasper AI, Microsoft 365 Copilot, NVIDIA AI Platform, PyTorch, TensorFlowAI Models
BERT, ChatGPT, GPT-3, GPT-4, LaMDA, LLaMA, Midjourney AI, Naive Bayes Classifier, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$2,000
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 30 days | 45 days | 60 days |
Number of Revisions | 0 | 1 | 2 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | |
MLOps | - | ||
Model Deployment | - | ||
Model Documentation | - | - | - |
Model Monitoring | - | ||
Model Testing & Optimization | - | - | |
Model Tuning | - | - | - |
Natural Language Processing | - | - | |
NLP Tokenization | - | - | |
Pre-Training | - | - | |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
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About Chandan
AI/ML/LLM Architect | Deep Learning | Computer Vision | Generative AI
68%
Job Success
Noida, India - 2:37 pm 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 Details
Get drone images and database access from the client.
Implement Generation and Detection:
Develop map generation and feature detection algorithms.