I will develop rag app development in streamlit for machine learning, data visualize


Over deze dienst
Are you looking for a professional AI-powered Streamlit app that integrates:
Retrieval-Augmented Generation (RAG)
Machine Learning Models
NLP Pipelines
Interactive Data Dashboards?
You're in the right place!
What I Offer:
- Streamlit web apps for ML, NLP & RAG
- Integration with Langchain, OpenAI, Hugging Face, etc.
- Clean UI/UX with filters, charts, and user interaction
- Deployment (optional): Streamlit Cloud / Render / VPS
Tech Stack:
Python, Streamlit, Pandas, Langchain, OpenAI, HuggingFace, Plotly
Why Me?
- 3+ years' experience in AI/ML dev
- Fast delivery
- Clean, commented code
- Free consultation before starting
Let's build your idea into an intelligent web app!
Message me before placing an order so we can discuss your project.
Maak kennis met Saher P
Web Developer with 3 years of experience transform ideas into visual solutions
- Afkomstig uitPakistan
- Lid sindsmei 2025
- Laatste levering1 jaar
Talen
Engels
Mijn portfolio
Veelgestelde vragen
1. What is an AI RAG app?
A RAG (Retrieval-Augmented Generation) app combines a language model (LLM) with your custom data sources (PDFs, CSVs, databases, etc.). It retrieves relevant context before generating smart, accurate responses—making it ideal for machine learning explanations, data analysis, and custom Q&A systems.
2. What technologies do you use in building RAG apps?
I use: Streamlit for building an interactive frontend Python for backend logic and data handling Langchain to connect the LLM and data retriever FAISS / ChromaDB for vector-based semantic search OpenAI / Groq / Hugging Face models for LLM inference Pandas, Seaborn,Matplotlib for data visualize
3. Can I ask questions about my own data in the app?
Yes! I will set up the app to let you upload files (CSV, PDF, Excel, TXT, JSON) and ask questions about them. The app retrieves relevant information and responds using AI with context from your data.
5. Will I receive the source code?
Yes, I deliver: Complete Python source code Streamlit app script Setup instructions (requirements.txt, .env, API keys) Sample test files and data (optional) Deployment guide (local and cloud)
1 reviews van deze dienst
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I isabel_sada

Mexico
Saher worked exceptionally well and quickly to provide me with a project that exceeded my expectations in no time at all! I highly recommend working with her, her passion and knowledge is palpable through her work
Tot maximaal US$ 50
Prijs
1 dag
Looptijd
Nuttig?
1 reviews van deze dienst
| (1) | ||
| (0) | ||
| (0) | ||
| (0) | ||
| (0) |
Specificering van de beoordeling
- Communicatieniveau van de freelancer
- Kwaliteit van de levering
- Waarde van de levering
Sorteer op
I isabel_sada

Mexico
Saher worked exceptionally well and quickly to provide me with a project that exceeded my expectations in no time at all! I highly recommend working with her, her passion and knowledge is palpable through her work
Tot maximaal US$ 50
Prijs
1 dag
Looptijd
Nuttig?

