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You will get ready to plug Semantic Search Engine

Prateek Y.Status: Offline
Prateek Y.
Preview image

Let a pro handle the details

Buy Machine Learning services from Prateek, priced and ready to go.
Prateek Y.Status: Offline
Prateek Y.
Preview image

Let a pro handle the details

Buy Machine Learning services from Prateek, priced and ready to go.

Project details

Unlike traditional syntactical search, it handles search semantically, which includes taking typos, misspelling, etc. Semantic Search understands the query in a way the human understands. It focuses more on the Intent of the query.
It can be integrated with any Database like Relational, NoSQL. Also, You can connect this with your existing Elasticsearch Engine.
Also, you've got the flexibility to use any NLP Model based on your source data. And if you've got a good amount of domain data (can train your own NLP model for search) or your pre-trained model, it would be very easy to integrate with this system.

What's included $500

These options are included with the project scope.

$500
  • Delivery Time 15 days
  • Number of Revisions 2
  • Number of Model Variations 2
    • Data Source Connectivity
    • Source Code
Prateek Y.Status: Offline

About Prateek

Prateek Y.Status: Offline
NLP Developer
Khairthala, India - 6:07 pm local time
With 5 years of professional experience in the Machine Learning domain, I have consistently demonstrated my ability to develop cutting-edge solutions for complex real-world challenges. My expertise spans both NLP (Natural Language Processing) and Computer Vision domains, allowing me to tackle diverse problems with innovative approaches.

Below are the standard NLP projects I have worked on:

1. NER (Named Entity Recognition)
2. QA (Question-Answering) System
3. Document Classification
4. Document Summarization
5. Language Modelling / Fine Tuning (LLM)
6. Topic Modelling
7. Keyword/KeyPharse Extraction

Language: Python
Libs: NLTK, sentence-transformer, Huggingface, Langchain, Transformers, Scikit-learn, Numpy, Pandas, Dask, etc.

Framework used (Model Development): Pytorch, Tensorflow, Keras, Jupyter Notebooks, Jupyter Notebook
Framework used (Model Deployment): Flask, FastAPI, Nginx, Docker, AWS Lambda.
Frameowkr used (Experiment Tracking and Model Monitoring): Mlflow, DVC, Docker, Azure ML.

PS: I have always been a keen/fast learner and have been recognized for this among my peers at the organization.

Steps for completing your project

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

Delivery time starts when Prateek receives requirements from you.

Prateek works on your project following the steps below.

Revisions may occur after the delivery date.

Data Source Connectivity

Data Preparation

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