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I will build scalable ai applications
Hassene O
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About this gig
I will integrate an AI model into your existing app, connect it to your database, and fine-tune the model for your specific use case. Full source code and detailed comments are always included.
Choose the right package for your project:
BASIC ($90) Core Integration
Includes: AI model integration, database integration, basic fine-tuning, full source code, detailed comments, and 2 revisions. Best for simple AI features like basic predictions or lightweight recommendations.
STANDARD ($110) Pro Performance
Everything in Basic, plus improved fine-tuning for better accuracy (custom datasets) and 5 revisions. Ideal for chatbots, content moderation, or personalized feeds.
PREMIUM ($150) Enterprise
Everything in Standard, plus advanced fine-tuning (hyperparameter tuning, custom loss functions) and UNLIMITED revisions. Perfect for fraud detection, complex NLP, computer vision, or mission-critical AI.
What to expect:
- Clean, documented code
- Smooth database integration (SQL/NoSQL/Firebase etc.)
- AI model optimized for your app's needs
- Fast delivery & clear communication
Message me before ordering if your app has unusual requirements.
Get to know Hassene O
Hassene O
Fullstack Data Science Engineer
- FromTunisia
- Member sinceMay 2026
Languages
Arabic, English, French, Japanese, Italian
I am a full-stack data science engineer and a second-year student at ENSIT with a solid foundation in data analysis and machine learning. I am passionate about building scalable applications and leveraging data-driven solutions to solve real-world problems using technologies like Node.js, Spring Boot, and Angular.
FAQ
What does "AI model integration" include?
It means I will take an existing AI model (e.g., OpenAI GPT, Llama, BERT, YOLO, or a custom model you provide) and connect it to your app’s backend or frontend so your users can interact with it in real time.
What kind of databases do you support?
Any – SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Firebase), or cloud databases (Supabase, AWS RDS). Database integration is included in all packages.
What is the difference between "basic" and "advanced" fine-tuning?
Basic fine-tuning adjusts model parameters on your dataset. Advanced fine-tuning includes hyperparameter tuning, custom loss functions, early stopping, and validation strategies for maximum accuracy.
