You will get get a custom OpenAI chatbot for your PDFs using LangChain and Streamlit

Anna F.Status: Offline
Anna F. Anna F.

Let a pro handle the details

Buy Other AI & Machine Learning services from Anna, priced and ready to go.
Anna F.Status: Offline
Anna F. Anna F.

Let a pro handle the details

Buy Other AI & Machine Learning services from Anna, priced and ready to go.

Project details

I will deliver a fully interactive AI chatbot that can answer questions from your PDF files using OpenAI + LangChain. It includes memory, clean UI, and vector-based document search. Ideal for legal, business, academic, or custom automation use cases.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Software Maintenance
AI Tools
Keras, OpenCV, PyTorch, TensorFlow
AI Development Language
Python
What's included
Service Tiers Starter
$400
Standard
$700
Advanced
$1,000
Delivery Time 8 days 15 days 20 days
Number of Revisions
123
AI Model Integration
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Detailed Code Comments
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Knowledge Graph
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Model Documentation
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Ontology
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Source Code
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Taxonomy
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Optional add-ons You can add these on the next page.
Fast Delivery
+$75 - $125
Additional Revision
+$70

Frequently asked questions

Anna F.Status: Offline
Anna F.Status: Offline
ML/ DL Engineer | Explainable AI Expert | Python Specialist
Birmingham, United Kingdom - 11:21 pm local time
🎓 Data Scientist | PhD in AI/ML | Clinical AI & XAI Expert | 7+ Years Experience

Over 7 years of hands-on experience delivering machine learning solutions, with a PhD-level background in AI. I've published 8 peer-reviewed journal articles and 7 international conference papers in areas such as clinical decision support, NSCLC prediction, cardiac diagnostics, and medical report generation.

💼 Services Offered
✅ Predictive modeling & classification
✅ Deep learning with TensorFlow/Keras
✅ Clinical AI systems & decision support tools
✅ Model optimization (hyperparameter tuning)
✅ Explainable AI (SHAP, LIME, Grad-CAM)
✅ Natural Language Generation (NLG) with OpenAI & Hugging Face
✅ Streamlit apps & interactive dashboards
✅ Full ML pipeline: preprocessing → modeling → deployment

🛠 Skills & Tools
Languages: Python, SQL, JavaScript (basic)
Frameworks: TensorFlow, Keras, PyTorch, scikit-learn
XAI: SHAP, LIME, Grad-CAM
Optimization: PSO, Genetic Algorithms
Visualization: Matplotlib, Seaborn, Streamlit, Plotly
Data Handling: Pandas, NumPy, OpenCV, SQLite
NLP/NLG: OpenAI GPT, Hugging Face Transformers, LangChain
Deployment: Streamlit, Flask, Google Colab, Docker

💡 Why Choose Me?
✔ 100% customizable data science solutions tailored to your goals
✔ Clear communication, reliable delivery, and strong documentation
✔ Comfortable signing NDAs to esnure your confidentality

My work bridges academic rigor with industry-ready implementation, whether you’re a startup, research group, or health tech company, I’m here to turn complex AI ideas into practical, interpretable systems.

📌 Sample Projects
🔹 NSCLC Detection System using CNN + clinical features with SHAP interpretation
🔹 Breast Cancer Diagnosis App (UCI data) via Streamlit – 96%+ accuracy
🔹 GPT-powered pipelines for clinical report generation & chatbot interfaces

Let’s collaborate to bring your AI, data science, or health-tech project to life.

💬 Click "Invite to Job" to discuss your project today!

🔖 Hashtags
#AIEngineer #DataScience #MachineLearning #DeepLearning #MedicalAI #ClinicalDecisionSupport #XAI #OpenAI #TensorFlow #Streamlit #LangChain #UpworkPro #ExplainableAI

Steps for completing your project

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

Delivery time starts when Anna receives requirements from you.

Anna works on your project following the steps below.

Revisions may occur after the delivery date.

Client uploads PDF and defines task

You send your document(s) and describe how you'd like the chatbot to interact with them (e.g., Q&A, summarization).

I build the chatbot

I’ll implement the LangChain + OpenAI logic, vector indexing, and Streamlit interface tailored to your use case.

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