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This is a project I titled: Development of High Blood Pressure (HBP) Prediction and Monitoring System Using CNN-BiLSTM and Fuzzy Logic in Real Time
Still undergoing development:
1. The Flask backend is operational with an integrated CNN-BiLSTM prediction pipeline and a fuzzy logic module for health risk assessment, along with REST API endpoints for communication.
2. A Flutter mobile application has been developed, featuring a dashboard that displays various health metrics and successfully communicates with the backend.
3. Hardware development includes the successful configuration of the ESP32 microcontroller, integration of an OLED display, and testing of the MAX30102 PPG sensor for real-time waveform acquisition.
4. AI integration involves transmitting real PPG data from the MAX30102 sensor to the Flask backend, where the CNN-BiLSTM model generates blood pressure predictions, which are then returned to the ESP32 and backend.
5. The complete communication pipeline from sensor to monitoring dashboard has been established, confirming successful real-time signal processing for blood pressure prediction.
6. Ongoing work focuses on sensor stabilization, hardware integration, synchronization of live updates, alert mechanisms, power management, and final system packaging.
7. The core real-time HBP prediction system using CNN-BiLSTM is implemented and tested, with the project now in the optimization stage before final deployment.
Willing to hear suggestions and getting more gigs to work with and solving of problems
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Darakai — Food Delivery App
Darakai is a modern food delivery app concept designed to make discovering restaurants, ordering meals, and tracking deliveries simple, fast, and enjoyable.
The project covers the complete customer journey—from onboarding and restaurant discovery to checkout, real-time tracking, delivery confirmation, and profile management.
Key Features
🍔 Restaurant & food discovery
🔎 Search and category browsing
🏪 Restaurant menus & reviews
🛒 Cart & order management
💳 Multiple payment options
📍 Delivery address management
🚴 Real-time order tracking
⭐ Order rating & feedback
👤 Profile & order history
📱 Cross-platform Flutter-ready experience
Design Focus
A clean and modern UI with strong orange branding, intuitive navigation, clear CTAs, consistent components, and a smooth ordering experience optimized for mobile users.
Project Goal
To create a scalable food delivery experience that connects customers with restaurants while making every step of the ordering process effortless.
Tags:
#FoodDelivery #MobileApp #UIUXDesign #Flutter #AppDesign #Figma #ProductDesign #UXDesign #UI Design #RestaurantApp #DeliveryApp #MobileUX #CrossPlatform #Prototyping #UserExperience
The end-to-end journey is mapped thoughtfully, especially the handoff from discovery to tracking and delivery confirmation. The orange accent keeps the dense feature board energetic; I’d use it sparingly on the checkout step to make the primary action even clearer.
Wow....
A cinematic, scroll-driven luxury watch promo video/website designed to feel more like a product film than a traditional website. Built with a strong focus on:
• Smooth scroll-driven animations
• Cinematic product storytelling
• Premium visual design
• Interactive product reveals
• High-quality motion and transitions
🚀 Available for Freelance AI/ML Projects
I’m currently open to working on interesting AI/ML projects — whether you’re building something from scratch or need help turning an idea into a working product.
I can help with things like:
• Machine Learning solutions
• AI/ML model development
• Data & predictive analytics
• Python-based AI applications
• FastAPI / API integration
• Automation and intelligent workflows
• AI features for existing projects
I enjoy working on real problems and building things that are actually useful, not just demo projects.
If you have an idea, project, or problem you’re trying to solve with AI/ML, feel free to reach out.
📩 Open to freelance projects & collaborations.
🔗 My work: https://github.com/Tejeshyewale
github.com
Tejeshyewale - Overview
Computer Engineering Student At PDEACOEM. Tejeshyewale has 102 repositories available. Follow their code on GitHub.