Custom AI & NLP Model Development with Streamlit App IntegrationKaran Singh
Looking for a robust AI or NLP model with a ready-to-use demo?
I’ll fine-tune or adapt advanced open-source models (1B–7B parameters) for your use case — such as sentiment analysis, summarization, or Q&A — and deliver them in a Streamlit web app for instant interaction and testing. This service balances model performance and usability, giving you an AI solution that’s both powerful and easy to showcase.
What's included
Custom Trained AI/NLP Model
A fully developed or fine-tuned AI/NLP model tailored to your specific text-based task — such as sentiment analysis, document classification, summarization, or entity extraction. The model is optimized for accuracy and efficiency, trained using your data or a suitable public dataset.
Interactive Streamlit Application
A user-friendly Streamlit web app that lets you easily test, visualize, and interact with your model’s predictions in real time. Ideal for demonstrations, evaluations, or internal use.
Model Documentation & Usage Guide
Comprehensive documentation detailing the model’s setup, usage instructions, parameters, and how to run the Streamlit app — making it easy to understand and reproduce results.
Performance Report & Evaluation Metrics
A detailed performance summary including key metrics such as accuracy, precision, recall, and F1-score, along with validation results on test data or sample inputs.
FAQs
I primarily fine-tune or customize advanced open-source language models, typically ranging from 1B to 7B parameters (e.g., Mistral, DeepSeek, etc.). The choice of model depends on your project goals and resource availability.
Yes. You’ll receive a Streamlit web app that allows you to easily test, chat with, and interact with your model. It’s perfect for demonstrations, internal evaluations, or sharing results with your team.
This service focuses on fine-tuning and adapting pre-trained models, not full-scale training from scratch. This ensures efficient use of time and resources while achieving excellent results for your specific use case.
Most projects are completed within 2–4 weeks, depending on model size, dataset complexity, and computational needs.
You’ll receive:
1. The trained or fine-tuned NLP model files
2. The Streamlit app for interacting with the model
3. A documentation and usage guide
4. A performance report with accuracy and evaluation metrics
Minor updates or small adjustments that take 1–2 days of work are provided at no additional cost.
If the requested changes require significant modifications, new data integration, or extended fine-tuning (typically 4–5 days or more), I’ll provide a clear quote and updated timeline after reviewing your requirements. This ensures fairness and transparency for both sides.
Starting at$950
Duration3 weeks
Tags
Keras
Python
PyTorch
Streamlit
TensorFlow
AI Application Developer
AI Developer
AI Model Developer
Service provided by
Karan Singh Kangra, India
- 10
- Followers
Custom AI & NLP Model Development with Streamlit App IntegrationKaran Singh
Starting at$950
Duration3 weeks
Tags
Keras
Python
PyTorch
Streamlit
TensorFlow
AI Application Developer
AI Developer
AI Model Developer
Looking for a robust AI or NLP model with a ready-to-use demo?
I’ll fine-tune or adapt advanced open-source models (1B–7B parameters) for your use case — such as sentiment analysis, summarization, or Q&A — and deliver them in a Streamlit web app for instant interaction and testing. This service balances model performance and usability, giving you an AI solution that’s both powerful and easy to showcase.
What's included
Custom Trained AI/NLP Model
A fully developed or fine-tuned AI/NLP model tailored to your specific text-based task — such as sentiment analysis, document classification, summarization, or entity extraction. The model is optimized for accuracy and efficiency, trained using your data or a suitable public dataset.
Interactive Streamlit Application
A user-friendly Streamlit web app that lets you easily test, visualize, and interact with your model’s predictions in real time. Ideal for demonstrations, evaluations, or internal use.
Model Documentation & Usage Guide
Comprehensive documentation detailing the model’s setup, usage instructions, parameters, and how to run the Streamlit app — making it easy to understand and reproduce results.
Performance Report & Evaluation Metrics
A detailed performance summary including key metrics such as accuracy, precision, recall, and F1-score, along with validation results on test data or sample inputs.
FAQs
I primarily fine-tune or customize advanced open-source language models, typically ranging from 1B to 7B parameters (e.g., Mistral, DeepSeek, etc.). The choice of model depends on your project goals and resource availability.
Yes. You’ll receive a Streamlit web app that allows you to easily test, chat with, and interact with your model. It’s perfect for demonstrations, internal evaluations, or sharing results with your team.
This service focuses on fine-tuning and adapting pre-trained models, not full-scale training from scratch. This ensures efficient use of time and resources while achieving excellent results for your specific use case.
Most projects are completed within 2–4 weeks, depending on model size, dataset complexity, and computational needs.
You’ll receive:
1. The trained or fine-tuned NLP model files
2. The Streamlit app for interacting with the model
3. A documentation and usage guide
4. A performance report with accuracy and evaluation metrics
Minor updates or small adjustments that take 1–2 days of work are provided at no additional cost.
If the requested changes require significant modifications, new data integration, or extended fine-tuning (typically 4–5 days or more), I’ll provide a clear quote and updated timeline after reviewing your requirements. This ensures fairness and transparency for both sides.
$950