AI & Machine Learning Capstone Support
Artificial Intelligence (AI) and Machine Learning (ML) are highly regarded research areas. However, collecting and pre-processing dataset items, executing model training under constrained hardware limits, and wrapping predictions in functional application APIs are frequent challenges. The AI engineering mentors at DoanPro assist you in fine-tuning models and building model pipelines.
Our Scope of Support
- Computer Vision (CV): Guide target detection, object tracking, and image classification setups utilizing YOLOv8, OpenCV, PyTorch, or TensorFlow.
- Natural Language Processing (NLP): Construct support systems, sentiment classifiers, and FAQ assistants utilizing Transformers (BERT, GPT, LLaMA) and RAG (Retrieval-Augmented Generation) setups.
- Classic Machine Learning Models: Data classification, regression, and clustering utilizing Scikit-learn (Random Forest, SVM, XGBoost).
- Model Web Deployments: Build lightweight prediction API endpoints using FastAPI or Flask, connecting them to frontends.
Supported Technologies
Pricing Packages Reference
| Package | Price From | Estimated Time | Scope of Support |
|---|---|---|---|
| Technical Consulting | From 500k VND | 1 - 3 days | Debugging HuggingFace library bugs, CUDA issues, Anaconda setup errors. |
| Module Development | From 550k VND | 3 - 7 days | Setting up datasets crawlers, cleaning raw text/images data, model API construction. |
| Demo / MVP | From 650k VND | 7 - 14 days | Integrating a pre-trained model into a simple React dashboard to demo real-time inputs. |
Mentoring Support
We focus on theoretical clarity and functional implementations:
- Explain deep learning setups and model evaluation metrics (Accuracy, Precision, Recall, F1-Score).
- Guide data cleaning and train pipelines setups on Google Colab or Kaggle.
- Help compose documentation sections for model architectures, dataset splits, and evaluation diagrams.
Featured Case Study
Real-time AI Image Recognition System
Real-time object classification and image tracking using YOLOv8, OpenCV, and FastAPI, wrapped in a responsive dashboard interface.
View Case Study →Frequently Asked Questions (FAQ)
1. Do I need expensive GPU setups for training?
No, we assist you in configuring training cycles on cloud systems like Google Colab or Kaggle GPU instances.
2. Can you help if my model has low accuracy scores?
Yes, we review model configurations and suggest training optimization techniques (Data Augmentation, tuning hyperparameters) to improve results.
Related Knowledge & Guides
- How to choose an appropriate IT thesis topic under budget
- Top AI & Data science capstone thesis ideas for university students
Struggling with low accuracy, model over-fitting, or PyTorch cuda settings?