I just published Supercharging Flutter Apps with ObjectBox: Offline Speed Meets AI Intelligence 🧠

[joemdjossou]

𝘼𝙄 𝙤𝙛𝙩𝙚𝙣 𝙙𝙚𝙢𝙖𝙣𝙙𝙨 𝙨𝙥𝙚𝙚𝙙 𝙖𝙣𝙙 𝙥𝙚𝙧𝙨𝙞𝙨𝙩𝙚𝙣𝙩 𝙙𝙖𝙩𝙖, 𝙚𝙫𝙚𝙣 𝙬𝙝𝙚𝙣 𝙩𝙝𝙚 𝙙𝙚𝙫𝙞𝙘𝙚 𝙞𝙨 𝙤𝙛𝙛𝙡𝙞𝙣𝙚.

Artificial Intelligence (AI) is transforming mobile apps from personalized recommendations to intelligent offline assistants.

𝘏𝘰𝘸 𝘥𝘰𝘦𝘴 𝘖𝘧𝘧𝘭𝘪𝘯𝘦 𝘚𝘱𝘦𝘦𝘥 𝘔𝘦𝘦𝘵𝘴 𝘈𝘐 𝘐𝘯𝘵𝘦𝘭𝘭𝘪𝘨𝘦𝘯𝘤𝘦 𝘰𝘯 𝘔𝘰𝘣𝘪𝘭𝘦 𝘋𝘦𝘷𝘪𝘤𝘦𝘴 ?:
𝐁𝐲 𝐒𝐮𝐩𝐞𝐫𝐜𝐡𝐚𝐫𝐠𝐢𝐧𝐠 𝐅𝐥𝐮𝐭𝐭𝐞𝐫 𝐀𝐩𝐩𝐬 𝐰𝐢𝐭𝐡 𝐎𝐛𝐣𝐞𝐜𝐭𝐁𝐨𝐱🔥.

𝖳𝗁𝖺𝗍’𝗌 𝗐𝗁𝖾𝗋𝖾 𝖮𝖻𝗃𝖾𝖼𝗍𝖡𝗈𝗑 𝖼𝗈𝗆𝖾𝗌 𝗂𝗇. 𝖨𝗍’𝗌 𝖺 𝗁𝗂𝗀𝗁-𝗉𝖾𝗋𝖿𝗈𝗋𝗆𝖺𝗇𝖼𝖾, 𝖭𝗈𝖲𝖰𝖫 𝖽𝖺𝗍𝖺𝖻𝖺𝗌𝖾 𝖻𝗎𝗂𝗅𝗍 𝖿𝗈𝗋 𝗆𝗈𝖻𝗂𝗅𝖾 𝖺𝗇𝖽 𝖾𝖽𝗀𝖾 𝖽𝖾𝗏𝗂𝖼𝖾𝗌. 𝖶𝗁𝖾𝗇 𝗒𝗈𝗎 𝗉𝖺𝗂𝗋 𝗂𝗍 𝗐𝗂𝗍𝗁 𝖥𝗅𝗎𝗍𝗍𝖾𝗋 𝖺𝗇𝖽 𝗅𝗂𝗀𝗁𝗍𝗐𝖾𝗂𝗀𝗁𝗍 𝖠𝖨 𝗆𝗈𝖽𝖾𝗅𝗌 (𝗅𝗂𝗄𝖾 𝖳𝖾𝗇𝗌𝗈𝗋𝖥𝗅𝗈𝗐 𝖫𝗂𝗍𝖾 𝗈𝗋 𝗈𝗇-𝖽𝖾𝗏𝗂𝖼𝖾 𝖮𝗉𝖾𝗇𝖠𝖨 𝗂𝗇𝗍𝖾𝗀𝗋𝖺𝗍𝗂𝗈𝗇𝗌), 𝗒𝗈𝗎 𝗀𝖾𝗍 𝗍𝗁𝖾 𝖻𝖾𝗌𝗍 𝗈𝖿 𝖻𝗈𝗍𝗁 𝗐𝗈𝗋𝗅𝖽𝗌: 𝖻𝗅𝖺𝗓𝗂𝗇𝗀-𝖿𝖺𝗌𝗍 𝗌𝗍𝗈𝗋𝖺𝗀𝖾 𝖺𝗇𝖽 𝗂𝗇𝗍𝖾𝗅𝗅𝗂𝗀𝖾𝗇𝗍 𝖽𝖾𝖼𝗂𝗌𝗂𝗈𝗇-𝗆𝖺𝗄𝗂𝗇𝗀 𝗐𝗂𝗍𝗁𝗈𝗎𝗍 𝗋𝖾𝗅𝗒𝗂𝗇𝗀 𝗈𝗇 𝗍𝗁𝖾 𝖼𝗅𝗈𝗎𝖽.

Why ObjectBox for AI-Driven Flutter Apps?
Let’s face it SQLite and shared_preferences won’t cut it when:

1. 𝗬𝗼𝘂 𝗻𝗲𝗲𝗱 𝘁𝗼 𝘀𝘁𝗼𝗿𝗲 𝘁𝗵𝗼𝘂𝘀𝗮𝗻𝗱𝘀 𝗼𝗳 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 𝗼𝗿 𝗔𝗜-𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗲𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴𝘀.
2. 𝗬𝗼𝘂 𝗻𝗲𝗲𝗱 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝘀𝘆𝗻𝗰 𝗮𝗰𝗿𝗼𝘀𝘀 𝘄𝗶𝗱𝗴𝗲𝘁𝘀 𝗼𝗿 𝘁𝗵𝗿𝗲𝗮𝗱𝘀.
3. 𝗬𝗼𝘂 𝗻𝗲𝗲𝗱 𝗹𝗼𝘄-𝗹𝗮𝘁𝗲𝗻𝗰𝘆 𝗿𝗲𝗮𝗱𝘀 𝗳𝗼𝗿 𝗔𝗜 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 (𝗲.𝗴., 𝗰𝗵𝗮𝘁𝗯𝗼𝘁 𝗺𝗲𝗺𝗼𝗿𝘆 𝗼𝗿 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀).

ObjectBox solves all that:

• 𝘚𝘱𝘦𝘦𝘥: 𝘞𝘳𝘪𝘵𝘦𝘴 𝘢𝘯𝘥 𝘳𝘦𝘢𝘥𝘴 𝘢𝘳𝘦 𝘶𝘱 𝘵𝘰 10× 𝘧𝘢𝘴𝘵𝘦𝘳 𝘵𝘩𝘢𝘯 𝘚𝘘𝘓𝘪𝘵𝘦.
• 𝘖𝘧𝘧𝘭𝘪𝘯𝘦-𝘧𝘪𝘳𝘴𝘵: 𝘞𝘰𝘳𝘬𝘴 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 𝘪𝘯𝘵𝘦𝘳𝘯𝘦𝘵 𝘤𝘰𝘯𝘯𝘦𝘤𝘵𝘪𝘷𝘪𝘵𝘺.
• 𝘖𝘣𝘫𝘦𝘤𝘵-𝘰𝘳𝘪𝘦𝘯𝘵𝘦𝘥 𝘈𝘗𝘐: 𝘕𝘰 𝘚𝘘𝘓, 𝘫𝘶𝘴𝘵 𝘱𝘭𝘢𝘪𝘯 𝘋𝘢𝘳𝘵 𝘰𝘣𝘫𝘦𝘤𝘵𝘴.
• 𝘚𝘺𝘯𝘤 𝘴𝘶𝘱𝘱𝘰𝘳𝘵: 𝘖𝘱𝘵𝘪𝘰𝘯𝘢𝘭 𝘖𝘣𝘫𝘦𝘤𝘵𝘉𝘰𝘹 𝘚𝘺𝘯𝘤 𝘧𝘰𝘳 𝘤𝘭𝘰𝘶𝘥 𝘣𝘢𝘤𝘬𝘶𝘱.

For AI use cases, this means your local model can run predictions, cache them, and serve responses instantly even before the network replies.

Here is the medium link: Medium