You will get I will build an AI sentiment analysis API with Python
Project details
I will build an AI-powered Sentiment Analysis API using FastAPI and Google Cloud NLP. The API will analyze text and return sentiment scores (positive, negative, neutral) as well as emotional tags (joy, sadness, anger). It will be secured with JWT authentication, documented with Swagger UI, and delivered with clear deployment instructions (local or Docker). This service is ideal for apps, chatbots, or customer feedback systems that need accurate and scalable text analysis.
Machine Learning Tools
Google AutoML, NLTK, NumPy, OpenCV, Python, scikit-learn, SQL, TensorFlow, TextBlobWhat's included
| Service Tiers |
Starter
$120
|
Standard
$250
|
Advanced
$450
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 8 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 1 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
About Ahmet
iOS & AI App Developer | Swift, Firebase, FastAPI
Kayseri, Turkey - 6:55 pm local time
What I Can Build For You
*iOS Apps (Swift & SwiftUI)
Firebase Auth (Email, Google Sign-In)
RevenueCat subscriptions
Multi-language & localization (i18n)
Secure local storage, modern UI/UX
App Store deployment
*AI Integration
Sentiment & mood analysis (NLP)
ChatGPT/Google NLP assistants
Computer vision (OpenCV, YOLO, MediaPipe)
Predictive modeling
CoreML edge deployment
*Backend APIs (FastAPI / Flask)
JWT authentication
PostgreSQL/MySQL/MongoDB integration
Async processing (Celery, RabbitMQ, Kafka)
CI/CD pipelines & Dockerized deployments
*Cloud & DevOps
Firebase Functions
Scalable architecture on Google Cloud & AWS
GitHub Actions
Why Clients Work With Me
✔ Clear communication & well-documented code
✔ Fast delivery with a startup mindset
✔ Focus on secure, scalable solutions
✔ Strong foundation in AI + mobile + backend
✔ Ready for long-term support
Let’s bring your idea to life
Message me today and I’ll suggest the best approach — even prepare a quick demo for your project.
Steps for completing your project
After purchasing the project, send requirements so Ahmet can start the project.
Delivery time starts when Ahmet receives requirements from you.
Ahmet works on your project following the steps below.
Revisions may occur after the delivery date.
Backend Setup
I set up the FastAPI project with required dependencies and environment.
NLP Integration
I integrate Google Cloud NLP to process text and return sentiment/emotion results.