AI Writing Assistant Development
Budget: $15 – $25 USD
I need an AI-driven assistant geared toward high-school students who want to sharpen their creative writing. The tool should guide them from blank page to polished piece, correcting surface-level mistakes while nurturing their personal voice.
Core functionality to build:
• Grammar, spelling, and punctuation detection with real-time correction
• Style and tone analysis that explains “why” a change is suggested
• Idea, outline, and first-draft generation from user prompts, with a strong bias toward creative writing formats (stories, scripts, poems)
• Plagiarism scanning against a reliable database, returning similarity scores and highlighted matches
• A feedback engine that remembers previous drafts and offers personalized improvement tips
I’m open to the architecture you prefer—whether you wrap existing large-language-model APIs (GPT, Claude, etc.) or train custom models in Python, TensorFlow, or PyTorch—provided the final product runs smoothly in a modern web environment and can scale to classroom-sized traffic.
What I’ll review first is your experience building NLP or ed-tech solutions. Links or brief walk-throughs of live demos, published papers, or shipped apps will make your proposal stand out.
Deliverables
1. A working web prototype with user authentication and a clean, distraction-free editor
2. Source code with clear documentation and setup instructions
3. Short video or live demo showcasing each feature in action
4. Post-launch support plan outlining bug-fix windows and possible phase-two enhancements
Once we agree on milestones, I’ll supply detailed UI wireframes and sample datasets so development can start immediately.
Core functionality to build:
• Grammar, spelling, and punctuation detection with real-time correction
• Style and tone analysis that explains “why” a change is suggested
• Idea, outline, and first-draft generation from user prompts, with a strong bias toward creative writing formats (stories, scripts, poems)
• Plagiarism scanning against a reliable database, returning similarity scores and highlighted matches
• A feedback engine that remembers previous drafts and offers personalized improvement tips
I’m open to the architecture you prefer—whether you wrap existing large-language-model APIs (GPT, Claude, etc.) or train custom models in Python, TensorFlow, or PyTorch—provided the final product runs smoothly in a modern web environment and can scale to classroom-sized traffic.
What I’ll review first is your experience building NLP or ed-tech solutions. Links or brief walk-throughs of live demos, published papers, or shipped apps will make your proposal stand out.
Deliverables
1. A working web prototype with user authentication and a clean, distraction-free editor
2. Source code with clear documentation and setup instructions
3. Short video or live demo showcasing each feature in action
4. Post-launch support plan outlining bug-fix windows and possible phase-two enhancements
Once we agree on milestones, I’ll supply detailed UI wireframes and sample datasets so development can start immediately.