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$
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I will do sentiment analysis and text classification using machine learning
Wakeel Khan
About this gig
Are you looking to analyze text data for sentiment or classify it into categories using
AI?
I will build a custom Streamlit web app that performs sentiment analysis or text classification using powerful machine learning or NLP models.
What You'll Get:
Clean, interactive Streamlit UI
Sentiment prediction from text, file upload, or form input
Real-time classification results with charts or visual feedback
Preprocessing, tokenization, and model integration (TF-IDF, SVM, Naive Bayes, etc.)
Option to use your own dataset (CSV, Excel, or TXT)
️ Use Cases:
- Customer feedback analyzer
- Product review sentiment checker
- Support ticket categorization
- Custom email/text classifier
Whether you're a student, researcher, or business owner, Ill deliver a user-friendly app tailored to your data and needs.
️ Extras Available: Deploy to web (Streamlit Cloud), export model, advanced dashboard, and more.
Get to know Wakeel Khan
Wakeel Khan
AI Engineer, Python Developer, LLM Apps, NLP and Automation
- FromPakistan
- Member sinceApr 2025
- Avg. response time1 hour
- Last delivery12 months
Languages
Hindi, Urdu, English
I'm an AI Engineer and Python Developer specializing in
building intelligent applications using LLMs, NLP, and
deep learning.
What I can build for you:
- AI chatbots using OpenAI GPT-4o and Claude API
- NLP tools — text summarization and document analysis
- Streamlit web apps deployed end-to-end
- Speech-to-text transcription using Whisper API
- No-code AI automation workflows using n8n
Certified in AI/ML by Government of Pakistan (A+ Grade),
with 10+ deployed projects on GitHub.
Clean code, clear documentation, on-time delivery.
My Portfolio
FAQ
Can I use my own dataset?
Yes! You can share your dataset in CSV, Excel, or plain text format, and I’ll train the model on it.
Will the app work online?
Yes, I can host it for you on Streamlit Cloud or guide you on running it locally.
What kind of text classification models do you use?
I use models like Naive Bayes, Logistic Regression, Random Forest, or Decision Tree after converting text into numeric form using TF-IDF or similar methods.
Can I get both sentiment analysis and classification in one app?
Absolutely -I can combine them or create tabs for each functionality.
Do I need any coding skills to use the final app?
Not at all! You’ll get a simple, no-code UI to use directly
