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SAATHI — AI-Powered Social Confidence Platform
SAATHI is an AI-powered platform designed to help people build social confidence, improve communication skills, and practice real-world conversations in a supportive digital environment.
The platform focuses on making communication practice more accessible through AI-powered conversations and roleplay experiences, helping users prepare for interviews and become more comfortable expressing themselves.
Key Features:
• AI Companion for conversational practice and supportive interactions
• Interview Roleplay to practice real-world interview scenarios
• Communication and speaking practice
• A user-focused dashboard to support personal progress
• Peer connection concepts for practicing with others
• Safety-focused AI interaction design
The project combines modern web development, AI integration, and user-centered design to explore how technology can help people communicate with greater confidence.
SAATHI aims to make every conversation an opportunity to practice, learn, and grow.
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Hello everyone, this is a prototype of a B2B Marketplace that can help construction companies sell more, manage easily supplier contacts and quotes request from theirs clients, the platform can be adapted to many fields in construction starting from metal to interior home suppliers. reach me out if you think this is useful for your business so i can customize it for you 😊
Quote requests usually need a status per supplier—sent, answered, revised or expired—so buyers can compare offers in one place. Did you model each supplier’s response separately from the original request?
🚨 A dental clinic was losing patients every single day.
Not because of bad service. Not because of high prices.
Because nobody was replying to messages.
Patients messaged on WhatsApp, Messenger, SMS… And waited. And waited. And left.
The clinic owner contacted me with one simple ask:
“I can’t hire someone to reply 24/7. Can you help?”
So, I built them an AI receptionist that never sleeps. 👇
Here’s exactly what it does:
✅ Omnichannel Support: Instantly replies to patients on WhatsApp, Facebook Messenger & SMS — all from one system.
✅ Human-like AI: Google Gemini AI understands the message, detects intent, and replies naturally.
✅ Smart FAQ Handler: Answers questions about services, pricing & clinic hours by pulling live data from Google Sheets.
✅ Automated Booking: Checks availability, blocks double-bookings, and confirms only after saving to the sheet.
✅ Instant Alerts: Notifies the clinic owner instantly via Gmail + Telegram on every new booking.
✅ Smart Reminders: Sends automated email reminders — 2 hours and 1 hour before the appointment.
✅ No-Show Recovery: Detects missed appointments and automatically sends a polite rescheduling email after 12 hours.
The Tech Stack 🛠️:
⚙️ Make.com — Automation backbone
🧠 Google Gemini 2.0 Flash — AI brain
📊 Google Sheets — Live clinic database
💬 Green API — WhatsApp integration
📱 Facebook Messenger API & Twilio — Chat & SMS
✉️ Brevo — Email reminders
📢 Telegram Bot — Owner notifications
💾 Make.com DataStore — Conversation memory per patient
The Result? 📈
Every patient gets an instant, intelligent reply — 24/7. No missed bookings. No forgotten appointments. No manual follow-ups.
The clinic owner now wakes up to confirmed appointments already in the sheet with zero manual effort.
This is what I build for businesses. If you’re still replying manually and losing leads while you sleep — DM me. Let’s fix that. 👇
#MakeAutomation #AIAutomation #NoCode #Makecom #GeminiAI #WhatsAppAutomation #BusinessAutomation #AIReceptionist #FreelanceAutomation #Upwork #Fiverr
Nice build, and very close to a WhatsApp assistant I just built for a dental-clinic use case on the WhatsApp Cloud API. Two things mattered a lot in testing: when a patient asks for a person, the bot has to go completely quiet for that chat until the owner hands it back, and the...
An interaction study for Mare’s collection feed, exploring how to make groups legible within a dense, mixed-format archive.
The layout preserves image proportions and integrates collection labels into the packing system. On hover, image-derived gradients establish the collection boundary, while subtle displacement creates space around the active group without changing its position or scale.
The motion studies isolate assembly, packing, colour and proximity, using real collection content to examine timing, spatial continuity and hover behaviour.
