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Newton Eyes – AI-powered vision companion for the visually challenged

Hacker News

Newton Eyes – AI-powered vision companion for the visually challenged

Hi HN, I'm excited to be working on Newton Eyes, an AI-powered app designed to be a vision companion for the visually challenged. By simply taking a picture, users receive a detailed description of their surroundings, enabling them to perceive the world in ways previously unimaginable. Features -------- AI-Driven Descriptions: Capture photos with your camera to get detailed, accurate descriptions, helping you understand your surroundings better. Voice Input and Feedback: Interact with the app through voice commands and receive audio feedback, making it fully accessible for visually impaired users. Intuitive Interface: Designed with accessibility in mind, ensuring ease of use for all users. Multi-Language & Talkback Support: Works with accessibility features like Talkback and supports Indian languages like Hindi, Telugu, Tamil, Malayalam, and Kannada. How It Works -------- Identify Objects: Get detailed descriptions of photos captured with your camera. Voice-Powered Interactivity: Use voice commands to interact with the app and receive audio feedback. Settings: Customize verbosity, enable/disable the "describe pic" feature, and choose between camera or gallery for image selection. Download : https://play.google.com/store/apps/details?id=co.tanay.newto... Check out the website: https://newton-eyes.app/ I'd love to hear your thoughts and feedback! Alternatives: BeMyEyes provides a similar functionality through their recent addition BeMyAI. This is a late post. While this looked fancy at the time of launch, the previews from OpenAI in March that showed LiveVideo interactions definitely make this look dated. What was a surprising learning to me is that when I worked with a couple of blind schools in India (in February 2024) in taking initial feedback, they were surprised and excited to use it. What is unfortunate is that - by that time BeMyAI existed and was easily accessible to them, and ideally they should have been making the best of it already by then. So more than the tools required, coaching and enabling disabled people on the tools they have at their disposal looks to be a larger challenge than the availability of the tools themselves! To do: Google Single Sign On (currently has a simple email based signup) Tanay

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
94%94% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, apps, user · Missing: mac, agents, macos
72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: apps, video, google · Missing: mobile apps, ios, personal
59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, exist, ide · Missing: https docs, just released, lua
50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive, reviews, interface · Missing: plus, platform, host
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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