Frontend developer using React, Next.js, and Tailwind. Learning Python, Django, and AI by building real projects daily!.

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Sangeeth Santhosh  • Peerlist

A weather forecasting and air quality prediction system that provides real-time and future weather insights. 📒Key Features: ▫️Live Weather Updates – Uses OpenWeather API to fetch real-time weather data. ▫️Air Quality Prediction – Utilizes a weather dataset & machine learning models for AQI forecasting. ▫️Dynamic UI – The background adapts based on weather conditions, day/night cycles. 📒Forecasting Capabilities: ▫️Next 5-hour weather predictions. ▫️5-day weather forecasting for better planning. ▫️Live Location Tracking – Updates every 30 seconds for the most accurate data. ▫️Location Search – Allows users to check weather details for any city worldwide.

Project 3:Areosense - Weather App with Air Qu

Designed and implemented Student Tracker, a smart academic management system that streamlined student data handling for 500+ records. Built using PHP, MySQL, and PhpMyAdmin, featuring modules for attendance, marks, and academic performance tracking. Enhanced efficiency for administrators by providing real-time data access and simplified reporting.

Project 2:Student Tracker – Smart Academic Ma

Developed Cartoonist Studio, an AI-powered application that converts images and videos into cartoon-style effects using Deep Learning (TensorFlow, OpenCV). Built with Python & Django for backend processing and integrated with a responsive web interface. This project showcases expertise in computer vision, image processing, and AI deployment.

Project 1:Cartoonist Studio

Working on EchoNotes, a speech-to-text web application designed to convert audio into structured notes. Leveraging Python, Django, and AI speech recognition APIs to help users capture ideas faster and more effectively.

Project 4: EchoNotes

▫️Reena is an intelligent voice assistant designed to provide seamless, real-time interactions using AI. ▫️Built with Hugging Face, Festival TTS, and Silero VAD, enabling natural speech recognition and response. ▫️Supports offline functionality, ensuring privacy-focused and fast responses without cloud dependency. ▫️Integrated with text-based and voice-based commands, making it versatile for various use cases. ▫️Designed to assist with daily tasks, answering queries, and providing personalized AI-driven responses. 📒Key Features: ▫️Built using Hugging Face, Festival TTS, and Silero VAD for natural speech recognition and response. ▫️Works offline, ensuring privacy and fast processing without cloud dependency. ▫️Supports both text-based and voice-based commands, making it versatile for various use cases. ▫️Designed to assist with daily tasks, answer queries, and provide personalized AI-driven responses.