Building an AI Research Agent with Django, LangChain & OpenAI | Full Stack Project
🔬 Deep Research System - AI-Powered Research Agent
I built a complete AI research platform that takes any question and generates comprehensive research reports with summaries, key findings, cost tracking, and full traceability.
Built for: Creston & Company Python Developer Internship Challenge
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🛠️ TECH STACK:
Backend: Django + Django REST Framework
Database: PostgreSQL
AI Framework: LangChain + LangGraph
LLM: OpenAI GPT-4o-mini
Tracing: LangSmith
Frontend: Custom UI (Sovereign Design System)
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✅ FEATURES:
Async AI research execution
Research continuation (builds on previous findings)
PDF/TXT document upload for context
Token usage & cost tracking
Full reasoning visibility
LangSmith tracing for debugging
Beautiful dark-themed dashboard
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📂 GITHUB REPOSITORY:
https://github.com/Princeeze744/deep-...
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⏱️ TIMESTAMPS:
0:00 - Introduction
0:30 - Frontend Dashboard Overview
1:30 - Live Demo: Starting Research
2:30 - Research Results: Summary, Findings & Cost
3:30 - Continuation Feature
4:00 - Code Walkthrough
4:45 - Conclusion
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🏷️ TAGS:
Python, Django, LangChain, OpenAI, GPT-4, AI Agent, Research Agent, Full Stack Development, PostgreSQL, REST API, LangSmith, Machine Learning, Artificial Intelligence, Web Development, Tutorial, Project Demo, Python Project, Django Tutorial, AI Tutorial, LangChain Tutorial, Build AI Agent, Python Developer, Creston Company
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👨💻 ABOUT ME:
I'm Ochidi Prince, a Python developer passionate about AI, automation, and building intelligent systems.
🔗 Connect with me:
GitHub: https://github.com/Princeeze744
LinkedIn: [Your LinkedIn URL]
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#Python #Django #LangChain #OpenAI #AI #MachineLearning #WebDevelopment #FullStack #Programming #Coding