Projects
EduWriter.ai
Academic Writing Automation | AI Writing Tools | Backend AI Engineering | NLP
EduWriter.ai — Academic Writing Automation Platform
EduWriter.ai is a full SaaS platform focused on simplifying academic writing through automated essay generation, citation-backed content, and rewriting tools. The platform enables students, researchers, and writers to create structured academic drafts efficiently while reducing manual research time. It integrates scholarly reference extraction, writing prompt configurations, and rewrite transformations to improve clarity and originality. While the UI was built separately, the entire AI writing engine and backend automation were engineered to deliver human-like, academically aligned content outputs.
Challenge
Role
Lead AI Engineer responsible for building all writing models, collecting & cleaning datasets, prompt system development, automation scripts, building backend API layer, and integrating citation tools and rewriting system into the platform’s functionality.
Project Goals
- Automate Academic Content Creation – Generate essay-structured responses with topic alignment and academic tone to reduce manual writing time.
- Research + Integration of Citations Automatically – Integrate scholarly extraction using Google Scholar sources for supporting evidence.
- Rewrite for Clarity and Originality – Offer paraphrasing options to refine academic drafts and reduce AI-flag vulnerability.
- Backend Layer to Power Scalable Writing Tools – Build a stable, reusable backend architecture for future tools and feature expansion.

Development Process
Dataset Creation & Preprocessing – Automated and manual collection cleaned using Pandas for optimized model outputs. &
Prompt System & Logic Building – Iterative prompt engineering to enforce structure, tone, and academic language.
Backend Integration via FastAPI – Connection layer linking AI logic with platform UI. &
Internal Model Testing via Streamlit – Rapid validation of models and rewriting logic before production release.
Final Outcome
The system includes an Essay Generation Engine that produces structured academic responses from topic prompts, supported by an automated Citation Lookup and Injection module that retrieves scholarly sources through ScrapingDog’s Scholar API. An AI Rewriting Module enhances clarity while preserving meaning, and a Backend API System links the AI models to the SaaS interface for smooth processing. A Dataset Collection and Cleaning Pipeline prepares structured, high‑quality data to ensure consistent, reliable results.
