AI Chatbot Developer for Construction Leadership
Budget: ₹150,000 – ₹250,000 INR
We are seeking an experienced AI/Chatbot developer to build a construction leadership decision-support chatbot. The system will answer questions using internal project data (WhatsApp exports, emails, PDFs, Excel trackers, meeting minutes) and must return auditable, citation-based answers (source links + excerpts).
Here is the product description : https://docs.google.com/document/d/1v0CusZ2pe5IAgxikkGLf86JEkued5Zh0TVtZ86RioWg/edit?usp=sharing
This is a web-based chatbot using a Retrieval-Augmented Generation (RAG) architecture with open-source/local models (no paid APIs such as OpenAI or Anthropic).
Primary focus:
Data ingestion
Retrieval & citation enforcement
Leadership Q&A interface
Scope of Work
The freelancer will be responsible for:
Building a data ingestion pipeline for:
WhatsApp exports (.txt)
Emails (.eml / .mbox / PDFs)
PDFs, Word docs, Excel files
Creating a vector database and metadata store
Implementing a RAG-based chatbot that:
Only answers when evidence is found
Displays citations (document name, excerpt, date, author)
Shows confidence level and “as-of” timestamp
Developing a simple web UI (FastAPI/Django + React or similar)
Using open-source/local LLMs (Ollama, vLLM, etc.)
Enforcing security and role-based access (basic level)
Preferred Tech Stack (Flexible)
Python
LangChain or LlamaIndex
FAISS or Qdrant
PostgreSQL / SQLite
FastAPI or Django
Local LLMs (Mistral, Llama, etc.)
React / simple frontend
Deliverables
Working chatbot web application
Ingestion pipeline scripts
Vector search + citation system
Documentation for setup and deployment
Sample queries and test cases
Source code in GitHub repository
Who Should Apply
We are looking for someone who has:
Built chatbot or RAG applications before
Experience with document ingestion and embeddings
Experience with open-source LLMs
Strong Python backend skills
Understanding of citation-based or enterprise AI systems
Ability to work independently and propose technical solutions
What to Include in Your Application (Required)
Please submit:
1. Project Quote
Provide:
Total estimated cost (USD)
Timeline (in weeks)
Breakdown by phase (optional but preferred)
2. Short Experience Description (5–8 sentences)
Include:
Your experience building chatbot or AI applications
Tools/frameworks you have used (LangChain, LlamaIndex, etc.)
Example of a similar project (brief description)
Your role in that project
3. Optional (Nice to Have)
GitHub or portfolio links
Screenshots or demo links of past chatbot projects
Budget
Open to proposals. Please submit your best estimate with justification.
Project Duration
Estimated 4–8 weeks depending on scope and experience.
Next Step
Shortlisted candidates will be invited for a 30-minute technical discussion.
Here is the product description : https://docs.google.com/document/d/1v0CusZ2pe5IAgxikkGLf86JEkued5Zh0TVtZ86RioWg/edit?usp=sharing
This is a web-based chatbot using a Retrieval-Augmented Generation (RAG) architecture with open-source/local models (no paid APIs such as OpenAI or Anthropic).
Primary focus:
Data ingestion
Retrieval & citation enforcement
Leadership Q&A interface
Scope of Work
The freelancer will be responsible for:
Building a data ingestion pipeline for:
WhatsApp exports (.txt)
Emails (.eml / .mbox / PDFs)
PDFs, Word docs, Excel files
Creating a vector database and metadata store
Implementing a RAG-based chatbot that:
Only answers when evidence is found
Displays citations (document name, excerpt, date, author)
Shows confidence level and “as-of” timestamp
Developing a simple web UI (FastAPI/Django + React or similar)
Using open-source/local LLMs (Ollama, vLLM, etc.)
Enforcing security and role-based access (basic level)
Preferred Tech Stack (Flexible)
Python
LangChain or LlamaIndex
FAISS or Qdrant
PostgreSQL / SQLite
FastAPI or Django
Local LLMs (Mistral, Llama, etc.)
React / simple frontend
Deliverables
Working chatbot web application
Ingestion pipeline scripts
Vector search + citation system
Documentation for setup and deployment
Sample queries and test cases
Source code in GitHub repository
Who Should Apply
We are looking for someone who has:
Built chatbot or RAG applications before
Experience with document ingestion and embeddings
Experience with open-source LLMs
Strong Python backend skills
Understanding of citation-based or enterprise AI systems
Ability to work independently and propose technical solutions
What to Include in Your Application (Required)
Please submit:
1. Project Quote
Provide:
Total estimated cost (USD)
Timeline (in weeks)
Breakdown by phase (optional but preferred)
2. Short Experience Description (5–8 sentences)
Include:
Your experience building chatbot or AI applications
Tools/frameworks you have used (LangChain, LlamaIndex, etc.)
Example of a similar project (brief description)
Your role in that project
3. Optional (Nice to Have)
GitHub or portfolio links
Screenshots or demo links of past chatbot projects
Budget
Open to proposals. Please submit your best estimate with justification.
Project Duration
Estimated 4–8 weeks depending on scope and experience.
Next Step
Shortlisted candidates will be invited for a 30-minute technical discussion.