You will get a fantasic ai based project
Project details
As a data scientist with a specialization in Generative AI and Large Language Models (LLMs), I tackle complex data challenges by leveraging cutting-edge techniques and tools. My projects typically involve designing and implementing advanced machine learning models to solve real-world problems, such as predictive analytics, data-driven decision-making, and natural language processing.
Project Summary:
What sets my projects apart is my integration of Generative AI and LLMs to create innovative solutions that push the boundaries of traditional data science. By utilizing these advanced technologies, I can deliver highly accurate predictions, generate meaningful insights, and automate complex processes. My approach combines a deep understanding of machine learning algorithms with practical experience in deploying models, ensuring that the solutions I provide are both effective and scalable.
Project Summary:
What sets my projects apart is my integration of Generative AI and LLMs to create innovative solutions that push the boundaries of traditional data science. By utilizing these advanced technologies, I can deliver highly accurate predictions, generate meaningful insights, and automate complex processes. My approach combines a deep understanding of machine learning algorithms with practical experience in deploying models, ensuring that the solutions I provide are both effective and scalable.
AI Algorithms
AdaBoost, Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, StyleGAN, Transformer Model, YOLOAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Generated Art, AI-Generated Code, AI-Generated Video, Conversational AI, Facial Recognition, Image Analysis, Image Processing, Image RecognitionAI Development Language
PythonAI Tools
Adobe Firefly, Azure OpenAI, Bing AI, Copy.ai, GitHub Copilot, Hugging Face, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, DALL-E, GPT-4, LLaMA, Midjourney AI, OpenAI Codex, Stable DiffusionWhat's included
| Service Tiers |
Starter
$10
|
Standard
$30
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 5 days |
AI Model Integration | - | - | - |
Batch Normalization | - | - | |
Database Integration | - | - | - |
Detailed Code Comments | - | - | |
Image Upscaling | - | - | |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | - | |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | |
Model Tuning | - | - | |
Natural Language Processing | - | - | |
NLP Tokenization | - | - | |
Pre-Training | - | - | |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $100About Ram
Machine Learning Engineer
Dharan, Nepal - 7:20 pm local time
At Fusemachines, I built a LangChain-based Interview Agent with multi-agent architecture, a multimodal RAG research assistant with hallucination reduction via RAGAS, and a demand forecasting pipeline for a furniture retailer using Prophet and XGBoost — reducing stockout and overstock risk with measurable MAE/RMSE improvements.
My thesis project fine-tuned YOLOv8 for real-time exam proctoring with 90% accuracy in detecting cheating behaviour, using OpenCV and MediaPipe for face and gaze tracking.
I work across the full AI stack: LangChain, HuggingFace, FastAPI, Docker, GCP, Streamlit, and n8n — and I deliver production-ready systems, not just prototypes.
Steps for completing your project
After purchasing the project, send requirements so Ram can start the project.
Delivery time starts when Ram receives requirements from you.
Ram works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection and Exploration
I will begin by gathering and thoroughly exploring the provided datasets to understand the structure, quality, and key features of the data. This initial analysis will help in identifying any necessary preprocessing steps and potential insights.
Data Preprocessing and Feature Engineering
I will preprocess the data to ensure it is in a format suitable for modeling. This includes handling missing values, encoding categorical variables, scaling features, and engineering new features that may improve model performance.