AI & Machine Learning Project
Autonomous AI Research Agent
Flask
Python
Groq API
DuckDuckGo Search
Project Overview
An autonomous research assistant that takes any topic, fetches top web sources via DuckDuckGo, synthesizes findings using Groq LLaMA models, and exports citation-backed research briefs.
Deliverables & Support Checklist
- Complete Source Code: Clean, well-commented code, database schemas, and setup configurations (Github/Zip format).
- Remote Setup Support: Complete environment installation and compiler/server startup runs done via AnyDesk or TeamViewer by a senior developer.
- Project Report & PPT template: Synced system flowcharts, UML diagrams, hardware/software specs, and presentation slides.
- Viva Voce Assistance: 1-on-1 code walkthrough explanation calls to prepare you for department evaluations and external examiners.
- Post-Submission Modifications: Lifetime bug-fixing support and code tweaks requested by project coordinators.
Viva-Voce Q&A Highlights
Q1: What is the primary architecture of this system?
A: It is structured as a standalone full-stack microservices simulation. It splits rendering blocks (HTML, modular JavaScript components) from backend logic handling algorithms, keeping standard RESTful conventions.
Q2: How is security handled inside this model?
A: Code modules execute standard local authentication. Security structures utilize cryptographic hashing (such as SHA-256 block hash references) and local password salts where required.
Buy Complete Project
₹7,999
Message on WhatsApp
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