About Me
Hello! I'm Prathmesh Sayal, a passionate learner and tech enthusiast. My journey in the world of computer science has been driven by an insatiable curiosity and a desire to create impactful solutions.
I specialize in Python, Web Development, and AI-powered applications. My achievements include being a runner-up in the Smart India Hackathon 2024, winning AIT Hack 24 with Guard.AI, and securing first place in BIT Hack'24 with Symptom Sage. The ever-evolving landscape of technology keeps me on my toes, always learning and adapting to new challenges.
Currently, I'm a 2nd Year CSE Undergraduate at RIT Bengaluru, maintaining a CGPA of 9.9/10.0. I'm actively seeking freelance opportunities, internships, and collaborative projects to further hone my skills and contribute to innovative solutions.
When I'm not coding, you'll find me exploring the latest tech trends, contributing to open-source projects, or brainstorming innovative ideas. Let's connect and create something amazing together!
Web Development
React, Next.js, Python
Backend
Node.js, Flask
AI & ML
TensorFlow, NumPy
Performance
Optimization, Algorithms
Tech Arsenal
React
Python
Next.JS
C
C++
JavaScript
Node.js
Tensorflow
GCloud
Projects
EDUMITRA
Developed for the Smart India Hackathon, this chatbot utilizes LLM with custom data, multi-lingual support, and voice interaction. Built using LangChain and Gemini API.
Gender Classification Model for Indian Faces
A deep learning model for gender classification trained specifically on Indian faces. Uses TensorFlow and Keras to predict male or female with high accuracy and confidence scores.
CONVERSA-DIGEST
A tool leveraging LLM for high-accuracy voice recognition and transcription with speaker diarization, storing both recordings and transcripts efficiently.
Symptom Sage
An intuitive web application designed to detect pneumonia from chest X-rays, generate comprehensive reports, and connect doctors and patients. Winner of BIT INCEPTRA'24 Hackathon.
Radio Website Data Scraping
This Python script scrapes radio station data from a website and saves it to a CSV file. It utilizes BeautifulSoup for web scraping and requests for making HTTP requests.