You will get RAG-Based AI System for Smart Documents
Project details
You will get a RAG-based AI system that can read your documents and answer questions accurately using their actual content.
This project uses Retrieval-Augmented Generation (RAG) to reduce hallucinations and deliver reliable, context-aware responses from your files.
I focus on clean implementation, clear workflow, and practical results.
The system is ideal for internal documentation, knowledge bases, research files, or business documents where accuracy matters.
If you’re looking for a simple, working AI document Q&A setup, this project is built to get you started efficiently and correctly.
This project uses Retrieval-Augmented Generation (RAG) to reduce hallucinations and deliver reliable, context-aware responses from your files.
I focus on clean implementation, clear workflow, and practical results.
The system is ideal for internal documentation, knowledge bases, research files, or business documents where accuracy matters.
If you’re looking for a simple, working AI document Q&A setup, this project is built to get you started efficiently and correctly.
Programming Languages
JavaScript, PythonCoding Expertise
Performance Optimization, DesignWhat's included $15
These options are included with the project scope.
$15
- Delivery Time 3 days
- Number of Revisions 1
- Number of Pages 1
- Content Upload
Optional add-ons
You can add these on the next page.
Additional Revision
+$10
Additional Page
(+ 2 Days)
+$18
Design Customization
(+ 2 Days)
+$30
Responsive Design
(+ 1 Day)
+$25
Source Code
+$42About Harshil
AI/ML Developer | Web Developer
Bengaluru, India - 5:56 am local time
I help businesses turn data into working intelligence — not just models in notebooks, but deployed solutions that actually run in real applications.
🌟What I Do Best
✨Machine Learning & Data Science
Build, optimize, and deploy ML/DL models for prediction, classification, and time-series problems using clean, well-structured pipelines.
✨Applied AI (Real-World Focus)
Feature engineering, model tuning, evaluation, and performance optimization on real datasets — accuracy and reliability matter.
✨Backend & Full-Stack Support (Secondary Skill)
Integrate AI models into Flask-based APIs and web applications, enabling end-to-end solutions instead of disconnected ML code.
✨Data Analysis & Visualization
Actionable insights using Pandas, NumPy, Matplotlib, and Power BI to support business decisions.
đź’»Professional Experience
I’ve worked as an AI/ML Engineer in a company environment, contributing to real products, collaborating with teams, and delivering solutions under practical constraints like deadlines, data quality, and scalability.
🔧Tech Stack
Languages: Python, SQL
ML & DS: Scikit-learn, TensorFlow, PyTorch
Visualization: Power BI, Matplotlib
Frontend: React, JavaScript, Streamlit
Backend (Supporting): Flask, REST APIs
Tools: Git/GitHub
🎯 Why Clients Work With Me
✔I focus on business outcomes, not buzzwords
✔I deliver clean, maintainable, production-ready code
✔I understand both AI models and how to deploy them
✔Clear communication, realistic timelines, and zero over-promising
📩 If you need an AI/ML or data-driven solution that actually works in production, let’s talk.
Steps for completing your project
After purchasing the project, send requirements so Harshil can start the project.
Delivery time starts when Harshil receives requirements from you.
Harshil works on your project following the steps below.
Revisions may occur after the delivery date.
Document Review & Setup
I review the uploaded documents, understand the use case, and prepare them for AI processing.
RAG Pipeline Development
I implement the Retrieval-Augmented Generation pipeline with document embedding, vector search, and AI response generation.