You will get Number Plate Detection system
Project details
You will get a complete ANPR solution including Number plate detection. This is completely deep learning based project. You are getting a complete project with full code base. You can later edit/upgrade according to your choice.
It includes latest Yolo Detection Algorithm which is faster than other CNN based detection algorithms and Ocr algorithms with high accuracy of detection.
You will also get a Flask User interface
As an expert with over 7+ years of experience, I offer fast, accurate, and affordable services for any project.
Contact me so we can discuss more about your requirements.
It includes latest Yolo Detection Algorithm which is faster than other CNN based detection algorithms and Ocr algorithms with high accuracy of detection.
You will also get a Flask User interface
As an expert with over 7+ years of experience, I offer fast, accurate, and affordable services for any project.
Contact me so we can discuss more about your requirements.
AI Development Type
Deep Learning, Model Tuning, Software MaintenanceAI Tools
OpenCV, PyTorchAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 15 days |
Number of Revisions | 2 | 5 | 10 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | - |
Model Documentation | - | - | |
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$200
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RL
Rahul L.
Sep 6, 2024
Looking for a Dask Expert
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Aakash B.
Jul 10, 2024
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Lee D.
May 23, 2024
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MJ
Mo J.
Jan 10, 2024
Neural network
I highly recommended him, he has good knowledge of ML and DL, quick response, and support. He also can give you some suggestions and clear explanations. will hire him again and again :)
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Nicolas B.
Jul 1, 2022
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Quick, Analytical
About Parmpal
Machine learning| Deep Learning| Artifical Intelligence
Zira, India - 1:34 am local time
Besides that I also have vast experience in network programming, cuda Programming, Android App Development and Web Development.
Clients ranging from startups to Fortune 500 companies across e-commerce, finance, IOT, audio, medicine, healthcare, real-estate and time series domains.
My past project's technical domains:
Linear regression, Logistic regression, PCA, Backpropagation, Autoencoders, Generative adversarial network, Reinforcement learning, Dropout regularization, K-means, KNN, SVM, Gaussian mixture model, EKF, UKF, Particle filter, SLAM, Stereo matching, Point cloud, Structure from motion, Path planning, Object detection, Classification, Localization, Segmentation, YOLO, OPENCV
* Natural Language Processing (NLP)
-- Prompt engineering for ChatGpt
-- Prompt engineering for Gemini
-- Intent, question answering, e-commerce search, conversations. DialogFlow, wit.ai
-- Abstraction, Extraction Text Summarization, Query Based summarization.
* Time series analysis, prediction -- medical signals, stock/currency markets.
* Deep reinforcement learning -- decision-making/scheduling problems.
* Cloud (AWS, Azure, GCE) based network training and deployment.
Hands-on expertise with a range of deep learning tools:
* Tensorflow, Keras, TensorRT, PyTorch, TensorFlow Serving, Caffe, Deeplearning4j, Kubernetes, Tensorflow lite, and Theano expert using CUDA backend.
* Distributed network training (across CPUs/GPUs).
* Building GPU-Accelerated Workflows with TensorFlow and Kubernetes
* Data processing: pandas, dask, h5py, Spark.
* Speech, Audio analysis
-- speech to text, noise removal, source separation. DeepSpeech, DeepVoice, Alexa.
-- text to speech pocket phoenix,Kaldi toolkit
* CHATBOTS
-- ChatGpt, my-croft open source AI chat bot
* Computer Vision, Object detection, Segmentation
-- locating, segmenting, and bounding objects in medical/natural images. SSD, Yolo, RCNN.
Proficient in building/training cutting-edge, novel neural architectures across various verticals. Familiar with the latest research involving DNN, CNN, RNN / LSTM, seq2seq, GAN, attention models.
Natural Language Processing with Transformers:
Hugging Face Transformers
RoBERTa, XLNet, BERT, Deepseek, OpenAI, GPT-3, GPT-4, Llama2, Llama3, Google T5, Transformer-XL, BERT with TensorRT, Custom models
* Biomedical NLP:
-- MedEmbed, BioBERT, SciSpacy, BioELMO, NegBio, PubMed Biomedical Content Processing
* Question-Answering:
-- SQUAD, HotpotQA, MovieQA, Biomedical question answering
* Embeddings:
-- Universal Sentence Encoder, ELMO, BERT, Flair, Glove, FastText
* AI Agents & Graph Retrieval Augmented Generation
* Vector Databases & Search:
-- Pinecone, ChromaDB, Milvus, Elasticsearch, Redis
* RESTful API Development:
-- Flask, Django, Django-REST, Nginx, Gunicorn
* Hardware Acceleration & Performance Optimization:
-- CPU, GPU, Multi-GPU, TPU
-- CUDA, TensorRT, TensorFlow Lite
* Collaboration & DevOps:
-- Collaboration Tools: JIRA, Trello
-- Version Control & Deployment: GitLab, DevOps, MLOps
* Visualization & Monitoring Tools:
-- Visualization Tools: Kibana, Grafana, Chronograf
-- Monitoring Tools: Prometheus, ELK Stack
* Ontologies & Graph-Based Systems:
-- Ontology Management: RDF, RDFS, OWL, SPARQL, Apache Jena, OpenCyc
-- Graph-Based AI Systems & Text Clustering
* Cloud services:
-- Google Cloud, AWS, IBM Cloud, Digital Ocean, Heroku, Paper space and others
Android DEVELOPMENT: ✓Java, Kotlin programming languages
Web: J2EE, Angular.js, Reactjs, NodeJs
Databases: Firebase, MYSQL, CoreData, SQLite, CloudKit, JSON, XML, MongoDB, DynamoDB
If you are searching someone who is passionate for programming and research. you are on the right page.
Steps for completing your project
After purchasing the project, send requirements so Parmpal can start the project.
Delivery time starts when Parmpal receives requirements from you.
Parmpal works on your project following the steps below.
Revisions may occur after the delivery date.
Discussion
Discuss with client for extra requirements