Link https://docs.google.com/spreadsheets/d/1FEeUTvCfwve2NgfKXV_VKS5_MbDekrVseOjDRWWhdwo/edit?gid=0#gid=0
This document evaluates several project ideas based on various criteria such as implementation ease, uniqueness, expected period, risk, and more. Each idea is assessed to determine its feasibility, potential impact, and resource requirements.
https://github.com/Graviton-Code-Editor/Graviton-App
https://github.com/neovim/neovim
https://github.com/lite-xl/lite-xl
https://github.com/lapce/lapce
https://github.com/Sakura-IDE/Sakura
| Name | Description | Implementation Ease | Roles Required | Loss | Earning | Uniqueness | Applicability | Expected Period | Transfer Learning | Technologies | Has Study | AI Integration Level | Risk | AI Personal Assessment (1-10) | Reason | Total Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Developer Productivity Tools | Tools for generating ERD diagrams, use case diagrams, and other software engineering assets. | 5.83 | 4 (Frontend, Backend, UX, DevOps) | 0.0 | 1.0 | 6.0 | 7.67 | 2–3 months | 0.0 | React, Node.js, Mermaid | 0.0 | 1.0 | 6.5 | 9.0 | Useful and realistic, but many tools already exist. Moderate innovation, but great for niche teams. | 37.0 |
| Novel Deep Learning Model | Research and develop a new AI model for a specific domain. | 5.0 | 3 (Researcher, ML Engineer, Data Eng) | -1.0 | 0.0 | 5.0 | 6.0 | 6–12 months | 1.0 | PyTorch, Hugging Face | 1.0 | 3.0 | 9.5 | 6.0 | High research potential and uniqueness; could push science forward. Technically rich and open-ended. | 35.5 |
| Advanced Arabic NLP System | Develop a comprehensive Arabic Natural Language Processing framework. | 1.0 | 4 (Researcher, ML Eng, Annotator, BE) | -1.0 | 1.0 | 9.0 | 2.67 | 8–12 months | 0.0 | AraBERT, Python, FastAPI | 1.0 | 4.0 | 8.5 | 4.5 | Important for low-resource languages; high social and technical impact. Underrepresented area. | 30.67 |
| AI-Powered Customer Support | AI-driven customer service and ticketing solution with speech recognition. | 6.83 | 5 (BE, FE, ML Eng, Speech Expert, PM) | -1.0 | 1.0 | 4.67 | 5.67 | 4–6 months | 0.0 | Rasa, Whisper, FastAPI | 0.0 | 2.0 | 7.0 | 7.0 | Practical and valuable, but relatively saturated space. Less novelty, more integration. | 33.17 |
| Agentic IDE | IDE controlled by agents to automate project creation in one prompt. | 3.17 | 5 (FE, Agent Architect, LLM Eng, etc.) | -1.0 | 2.0 | 7.17 | 8.0 | 6–9 months | 0.0 | GPT-4, LangChain, Monaco | 0.0 | 3.0 | 9.0 | 3.0 | Ambitious and futuristic. Technically bold and requires deep orchestration of agents + LLMs. Great potential. | 37.33 |
| Islamic App | App serving Islamic purposes (e.g., AI Tafsir, smart Q&A). | 5.33 | 3 (Mobile Dev, Backend, UI/UX) | 0.0 | 0.0 | 5.0 | 7.67 | 2–3 months | 0.0 | Flutter, Firebase | 0.0 | 1.5 | 6.0 | 7.67 | Socially valuable, but technically simple unless extended with unique features. | 33.17 |
| Text Dataset Generator | Platform to generate textual data with specified features at scale. | 4.17 | 3 (Backend, ML Dev, CLI/UX Dev) | -1.0 | 1.0 | 8.17 | 7.17 | 3–5 months | 0.0 | Pandas, Arrow, Faker | 0.0 | 3.0 | 7.5 | 5.5 | Underrated tool idea. Solves real ML/DS pain points. High utility for researchers and devs. Not flashy but smart. | 35.5 |