Overview

• Explore how intelligent, data-aware systems can support and enhance modern business and marketing decision-making.
• Deliver a robust, web-based prototype that demonstrates innovation, reliability and real‑world applicability while avoiding exposure of internal methods.

Objectives & Scope

• Design a flexible framework that augments existing marketing workflows rather than replacing human expertise.
• Ensure the proposed solution remains adaptable to different contexts, tools and organizational constraints (scalability, modularity and integration with current stacks).

Missions & Deliverables

• Investigate practical ways to combine automation and creativity to improve day‑to‑day operational efficiency in marketing teams (e.g., campaign orchestration, content suggestions, insights dashboards).
• Produce a working prototype (web module) showing end‑to‑end functionality, integration points, and evaluation scenarios without revealing sensitive internal algorithms.

Technical Requirements & Tech‑stack

• Implement frontend and interactions using React.js; build backend services in Node.js; use MySQL and Redis for persistence and caching.
• Integrate Gen‑AI capabilities and LangChain for data‑aware reasoning and orchestration; containerize with Docker and use Git for versioning; include tests with Jest.

Expected Work Mode & Team

• Collaboration with a small team to prototype, iterate and test integrations with common marketing tools.
• Internship duration: 04-06 MONTHS; focus on building reliable, testable components and documenting integration points and usage patterns.

Evaluation Criteria

• Quality of the prototype: reliability, modularity, clarity of integration and demonstrated improvement to workflow efficiency.
• Practicality and adaptability: how well the solution augments human decision‑making and fits into different organizational constraints.