You will get End to End RAG application
Project details
You will get end-to-end function RAG or Agentic RAG system based on your requirements.
It might be Law documents, finance documents or any other documents. Along with that, I will create a streamlit UI for testing where you will get the URL link so that you can test the application with the development process. For the final project, I will create a flask or Fast API application and will deploy it on the server so that you can consume API. If required, I will implement API on your exiting application.
It might be Law documents, finance documents or any other documents. Along with that, I will create a streamlit UI for testing where you will get the URL link so that you can test the application with the development process. For the final project, I will create a flask or Fast API application and will deploy it on the server so that you can consume API. If required, I will implement API on your exiting application.
AI Algorithms
Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Generated Art, AI-Generated Code, Conversational AI, Image-to-Image Translation, Machine Translation, Natural Language Generation, Sentiment Analysis, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, Gradio, Hugging Face, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-Neo, LLaMA, Midjourney AI, Naive Bayes Classifier, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 10 days | 10 days | 15 days |
Number of Revisions | 5 | 7 | 10 |
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 |
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AG
Arjun G.
Feb 18, 2025
AIML Work
This is a great guy to work with. Works with you to give you what you've asked for, and brainstorms really well to come up with creative ideas to solve a problem. Writes great Python code as well. He's working on at least three different projects with me right now.
AD
ARIJIT D.
Feb 1, 2023
Need to make a SetUp project for a dotnet windows application with sqlite database
Great knowledgeable freelancer.
About Alok
AI & Machine Learning Engineer | Production-Ready AI, NLP & Deployment
Allahabad, India - 1:35 am local time
My expertise covers the entire ML lifecycle:
🔹 Data cleaning & feature engineering
🔹 Custom model training & optimization
🔹 NLP & RAG systems (chatbots, semantic search)
🔹 Computer Vision & document AI
🔹 API deployment using FastAPI / Flask
🔹 Dockerized solutions & cloud-ready delivery
What sets me apart:
✔ Solutions built for real use, not demos
✔ Clean, documented, and reusable code
✔ Scalable architecture you can maintain
✔ Fast communication, clear delivery timelines
Technologies I use:
Python, Scikit-Learn, TensorFlow, PyTorch, LangChain, FastAPI, Flask, Docker, OpenAI/HuggingFace, Vector DBs
📩 Message me before placing an order so we can define scope and deliver the best solution for your business needs.
Steps for completing your project
After purchasing the project, send requirements so Alok can start the project.
Delivery time starts when Alok receives requirements from you.
Alok works on your project following the steps below.
Revisions may occur after the delivery date.
Data Preprocessing
Data can PDF, DOC, DOCX, TXT, WEBSITES, OR SQL Removing noise, multiple lines, multiple TABs,and multiple paragraphs so that we can reduce tokens. Perform OCR for scanned pdf or images Exctract info and convert into json object.
Chunking
Recursive Chunking Sementic Chenking LLM Based Chunking i will use above method based on requirements