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You will get a state-of-the-art RAG implementation using Llama-Index

Dang D.Status: Offline
Dang D.
Preview image

Let a pro handle the details

Buy Generative AI services from Dang, priced and ready to go.
Dang D.Status: Offline
Dang D.
Preview image

Let a pro handle the details

Buy Generative AI services from Dang, priced and ready to go.

Project details

Ragoooon is a RAG-powered travel assistant designed to enhance your travel experience. It provides:

Personalized recommendations tailored to your interests and preferences.
Real-time information about destinations, including hidden gems and local secrets.
A fun and engaging user experience with a hint of humor to make your trip delightful.
Seamless integration into your smartphone for instant assistance on the go.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer Model
AI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, AIOps, Conversational AI, Natural Language Generation, Natural Language Understanding
AI Development Language
Python
AI Tools
Gradio, Hugging Face, PyTorch, Streamlit
AI Models
BERT, GPT-3, GPT-4, LLaMA
What's included
Service Tiers Starter
$15
Standard
$20
Advanced
$30
Delivery Time 3 days 2 days 1 day
Number of Revisions
011
AI Model Integration
Batch Normalization
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Database Integration
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Detailed Code Comments
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Image Upscaling
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MLOps
Model Deployment
Model Documentation
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Model Monitoring
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Model Testing & Optimization
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Model Tuning
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Natural Language Processing
NLP Tokenization
Pre-Training
Prompt Engineering
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Setup File
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$5 - $7
Additional Revision
+$4
Dang D.Status: Offline

About Dang

Dang D.Status: Offline
Artificial Intelligence | Generative AI, ML, DL
Hanoi, Vietnam - 2:55 pm local time
Profile Overview:

I am a highly motivated and detail-oriented AI researcher with a strong academic background in Computer Science and hands-on experience in machine learning, deep learning, and natural language processing. My expertise spans across Python, PyTorch, and AWS, with a proven track record of leading teams, conducting innovative research, and delivering impactful solutions in both academic and industry settings.

Strengths & Skills:
- Technical Proficiency: Proficient in Python, C++, SQL, and frameworks like PyTorch, FastAPI, and LangChain. Experienced in cloud platforms (AWS, Google Cloud) and advanced AI techniques such as Retrieval Augmented Generation (RAG) and adversarial testing.
- Research & Development: Led multiple AI projects, including machine translation, generative AI for cybersecurity, and computer vision applications, achieving top rankings in hackathons and competitions.
- Problem-Solving & Innovation: Skilled in creative problem-solving, data augmentation, and model optimization, with a focus on delivering practical, real-world solutions.
- Collaboration & Leadership: Effective team leader with experience mentoring junior researchers, fostering cross-functional collaboration, and presenting findings at conferences like NIC 2023.

Key Accomplishments:
- 4th Place in VLSP 2024 for Lao-Vietnamese Machine Translation.
- Runner-up in RMIT GenAI & Cybersecurity Hackathon 2024 for deploying an OpenAI-like API with adversarial testing.
- 8th Place in SoICT Hackathon 2024 for developing a robust vehicle detection system using YOLO and SSD models.
- Increased Named Entity Recognition (NER) model accuracy from 85% to 93% at Giao Hang Tlét Kiệm through fine-tuning and data augmentation.

Education:
- B.Sc in Computer Science (Honors) from the University of Engineering and Technology, Vietnam National University, Hanoi. Relevant coursework includes AI, Deep Learning, and Data Science.
- IELTS 7.0 – Fluent in English with strong communication skills.

I am passionate about leveraging AI to solve complex problems and am eager to contribute my skills and experience to cutting-edge research initiatives.

Steps for completing your project

After purchasing the project, send requirements so Dang can start the project.

Delivery time starts when Dang receives requirements from you.

Dang works on your project following the steps below.

Revisions may occur after the delivery date.

Receive additional requirements (if provided) from client

Edit project based on client's preferences

Review the work, release payment, and leave feedback to Dang.