Build Phase 1 AI Learning Tool
Budget: $10 – $150 USD
I'm seeking a skilled and trustworthy Python developer to advance a AI-powered educational tool currently in early prototype form.
This tool focuses on personalized learning by analyzing images and text to generate dynamic quiz questions and adapt to user performance over time.
Current Prototype Includes:
Python scripts
LLM model file (Phi-2 via llama.cpp)
OCR with Tesseract
Early command-line UI
Sample image and logic documentation
Your Mission – Phase 1 MVP Objectives:
Enhance and optimize OCR functionality using Tesseract or a similar tool
Integrate a local LLM (Phi-2 via llama.cpp or similar)
Develop robust dynamic question generation from extracted text/images
Implement open-ended answer processing using NLP (not just keyword matching)
Build a simple UI or CLI launcher for uploading images or text and generating questions
Bonus Features (Optional, Not Required for MVP):
Add support for PDFs
Save questions and answers in a smarter format (JSON, SQLite, etc.)
Introduce adaptive difficulty or question cycling based on performance
Confidentiality:
This project is confidential. An NDA (Non-Disclosure Agreement) must be signed before receiving:
Source code
Project logic and structure
Sample image
Full feature requirements
Ideal Candidate:
Strong experience in Python
Familiarity with OCR tools (Tesseract, EasyOCR, etc.)
Experience working with local LLMs and llama.cpp
Skills in prompt engineering and NLP
Comfortable with frontend/backend integration (even simple UIs or CLI apps)
Ideally has worked on educational or AI-based tools before
Committed to maintaining confidentiality and delivering clean, documented code
If you’re passionate about AI, education, and smart automation, I’d love to collaborate with you on this project.
Let me know if you need an NDA to review the full brief. Looking forward to working together.
P.s. Shortlisted candidates must sign a custom NDA and IP Agreement before receiving the full project details.
This tool focuses on personalized learning by analyzing images and text to generate dynamic quiz questions and adapt to user performance over time.
Current Prototype Includes:
Python scripts
LLM model file (Phi-2 via llama.cpp)
OCR with Tesseract
Early command-line UI
Sample image and logic documentation
Your Mission – Phase 1 MVP Objectives:
Enhance and optimize OCR functionality using Tesseract or a similar tool
Integrate a local LLM (Phi-2 via llama.cpp or similar)
Develop robust dynamic question generation from extracted text/images
Implement open-ended answer processing using NLP (not just keyword matching)
Build a simple UI or CLI launcher for uploading images or text and generating questions
Bonus Features (Optional, Not Required for MVP):
Add support for PDFs
Save questions and answers in a smarter format (JSON, SQLite, etc.)
Introduce adaptive difficulty or question cycling based on performance
Confidentiality:
This project is confidential. An NDA (Non-Disclosure Agreement) must be signed before receiving:
Source code
Project logic and structure
Sample image
Full feature requirements
Ideal Candidate:
Strong experience in Python
Familiarity with OCR tools (Tesseract, EasyOCR, etc.)
Experience working with local LLMs and llama.cpp
Skills in prompt engineering and NLP
Comfortable with frontend/backend integration (even simple UIs or CLI apps)
Ideally has worked on educational or AI-based tools before
Committed to maintaining confidentiality and delivering clean, documented code
If you’re passionate about AI, education, and smart automation, I’d love to collaborate with you on this project.
Let me know if you need an NDA to review the full brief. Looking forward to working together.
P.s. Shortlisted candidates must sign a custom NDA and IP Agreement before receiving the full project details.