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Leonal Robin D

I'm Developer

About

I am a driven and innovative Computer Science student passionate about combining cutting-edge technologies with practical solutions. With a strong foundation in development tools and programming, I aim to create impactful solutions in AI, IoT, and full-stack development.

Leonal Robin

Full-Stack Developer

  • Birthday: 27 sep 2003
  • Phone: +91 8248731433
  • City: Dindigul, Tamil nadu, India
  • Degree: B.Tech
  • Branch: Computer Science and Engineering
  • Email: leonalrobinlr10@gmail.com

My Skills

Python
Java
JavaScript
C++
NLP Transformers
React.js
Node.js
Express.js Express.js
Django
Flask Flask
Spring Boot
HTML
CSS
Bootstrap
AWS
GCP
MongoDB MongoDB
Pinecone Pinecone
MySQL MySQL
PostgreSQL PostgreSQL
Git
Docker
Redis Postman
Figma
Redis Redis
firebase Firebase
REST API

Resume

I am a passionate Computer Science student focused on delivering impactful solutions in full-stack development, IoT systems, and machine learning. With hands-on experience in academic and industrial projects, I bring a balance of technical expertise and creative problem-solving to the table.


Summary

Leonal Robin D

Innovative full-stack developer and IoT enthusiast with a strong focus on web development, AI-driven solutions, and IoT-based systems. Dedicated to building efficient, user-friendly applications and automating everyday tasks.

  • Ettimadai, Coimbatore, Tamil Nadu, India
  • +91 8248731433
  • leonalrobinlr10@gmail.com

Education

Bachelor of Technology in Computer Science and Engineering

2021 - 2025

Amrita Vishwa Vidyapeetham, Coimbatore, India

Relevant Courses: Data Structures, Machine Learning, IoT, Database Systems, and Deep Learning.

Higher Secondary School

2020 - 2021

Achyuta Academy, Coimbatore, India

Computer Science & Mathmatics

Professional Experience

SDE Internn

Telesto Energy

Coimbatore, Tamil Nadu, India

  • Implemented a responsive landing page, and used the Django framework to enhance website security., normalized MySQL tables, and integrated ML models into the UI for predictive analytics

SDE Internn

MANNIT

Chennai, Tamil Nadu, India

  • Built an AI-based web app with React.js and Flask for querying GitHub and database info, featuring user authentication and PostgreSQL-backed chat request/response storage.
  • Fine-tuned DeepSeek LLM with RAG and Pinecone Vector DB; developed admin UI for managing embeddings and personalized chatbot responses, the respected user

Notable Projects

Fake news Detection

HTML, CSS, JavaScript, Tailwind CSS, Flask, GitHub, API, Render, ML Models

  • Developed a real-time fact-checking interface where users upload media (URL/audio/video/Current news) that is analyzed via OCR and models (BERT,CLIP, GPT-2, Whisper) to generate confidence scores and key image fragments.
  • Implemented real-time predictions with confidence scores; recognized among 5000+ participants at the Truth Tell Hackathon..

AI-Powered Smart Walking Stick

HTML, Tailwind CSS, JavaScript, Yolov8, ESP32, API, Render, Firebase Admin

  • Designed a customizable smart cane with advanced sensors and a mobile app for real-time obstacle detection, object detection and GPS navigation, reducing collision incidents by 40%
  • Leveraged multimodal sensor data and cloud-based APIs to scale the solution, selected among 64 teams at SIH with a user satisfaction rating of 4.8/5.

Projects

A comprehensive collection of innovative projects spanning websites, IoT, machine learning, networks, and data analysis, showcasing technical expertise and creative problem-solving.

  • All
  • Website
  • DL & ML
  • IOT
  • Networks
  • DAA
Aagneya Sports Club

Aagneya Sports Club

A platform developed to streamline sports event management, registration, and achievement tracking for staff and community members.

Portfolio Website

Portfolio Website

A responsive portfolio to showcase projects and optimized design across devices

text classification

Consumer Complaint Text Classification

This project classifies CFPB consumer complaints using text preprocessing (tokenization, stop word removal, stemming) and TF-IDF to map products into four categories with ML models (Naive Bayes, SVM, Random Forest).

Task

Task-management-system

This project provides a full-stack application with a Spring Boot backend and a React/TypeScript frontend. The backend exposes a REST API to create, fetch, update, execute, and delete "task" objects that represent shell commands.

Travel Mate

Travel Mate

Interactive Travel Guide Website

Web Reshape

Web Reshape Quiz

NIT Pragyan Quiz Website

ANSAN

ANSAN

Detect Glaucoma early with our app!
Project was shortlisted for Google Solutions Challenge 2024 India Regional Bootcamp

Detective Dustbin

Detective Dustbin

An intelligent waste management system featuring automated waste detection and environmental monitoring using IoT components like ultrasonic and DHT sensors.

customisable device

Smart customisable device with App

Users can customize the system for real-time obstacle detection and navigation. The mobile app provides visual, auditory, and tactile feedback for safe, independent mobility.

fakenews

Fake news detection

Developed an AI solution for verifying news truthfulness, proposed blockchain for secure fact-check records, and implemented a queue-based cache memory for data storage.

Gate Opening System

Gate Opening System

An IoT-based facial recognition system for automated gate control, integrating computer vision for secure access.

EnviroBot

EnviroBot

A smart system combining obstacle avoidance with environmental monitoring, featuring temperature prediction and Firebase integration for data analytics.

Smart Blind Stick

Smart Blind Stick

An IoT-powered assistive device for the visually impaired, offering obstacle detection, GPS tracking, and real-time navigation assistance

Smart Blind Stick

Dashboard for Guardian

Guardians can send alerts, track activities, Indoor & outdoor navigation and view live video from the blind person using ESP32-CAM through the dashboard.

Seismic Data Detection

Seismic Data Detection

A project focused on filtering and compressing seismic data from Apollo and Mars missions, using PCA and Huffman encoding for efficient data handling.

Sentiment Analysis

Sentiment Analysis

Developed a sentiment analysis system using deep learning models (DenseNet, AlexNet, Custom CNN) for emotion classification, achieving 89% accuracy with DenseNet. Utilized advanced techniques like batch normalization, dropout, and Explainable AI

Price Prediction E-commerce

Price Prediction Website

An e-commerce platform featuring price prediction using machine learning and product recommendations, with admin and user authentication.

Hand Sign Detection

Hand Sign Detection

Explored image processing techniques for hand sign detection, utilizing custom datasets and advanced filters for improved accuracy.

Forest Cover Prediction

Forest Cover Prediction

Implemented machine learning models like Logistic Regression, SVM, and ensemble methods for classifying forest cover types based on extensive feature analysis

Disaster Recovery

Disaster Recovery System

Developed a disaster recovery system in Go, using snapshot and election algorithms to ensure reliable transaction management.

Smart Home Networking

Smart Home Networking

Simulated a smart home environment using Cisco Packet Tracer, integrating IoT and network management with VLAN, DHCP, and RIP protocols.

Resource Allocation

Cloud Resource Allocation

Implemented a system for efficient resource allocation in cloud environments, ensuring integrity and priority-based distribution

Dynamic List Update

Dynamic List Update Problem in Product Recommendation Systems

The system improves recommendations by adapting to user behavior with recency decay, adaptive weights, and ensuring visibility for new products.

Achievements & Activities

Highlights of my journey in technology, innovation, and impactful projects that showcase my skills and dedication to solving real-world problems.

GDSC

ANSAN - GDSC Project

Developed ANSAN, a cross-platform mobile app for early glaucoma detection. Finalist in the 2024 Google Solutions Challenge India Regional Bootcamp. Features fundus imaging, instant predictions, real-time communication, and scalable databases.

SIH

Smart India Hackathon

Developed Project Parvai, addressing mobility challenges for visually impaired individuals by integrating obstacle detection, GPS tracking, and real-time assistance. Among the top 50 teams at the college level.

NASA Space App

NASA Space App Challenge

Created a seismic data filtering and analysis system using PCA and Huffman encoding to process Apollo and Mars InSight mission data. Enhanced signal clarity, reduced noise, and optimized data transmission.

NIT Pragyan

Webwars - NIT Pragyan

Developed an interactive quiz platform using modern web technologies. Secured 1st place among 200+ participants in a prestigious competition conducted by NIT Trichy during Pragyan Fest.

Blockchain Project

Blockchain-Based Solution

Implemented a secure blockchain-based application for decentralized transactions. Enhanced transparency and security in digital operations.

Truthtell Hackathon

Truthtell Hackathon

Misinformation in broadcasting spreads quickly, harming credibility, while traditional fact-checking is slow, single-modal, and lacks real-time analysis.

Brainwave Project

Brainwave Project

Designed and developed a real-time brainwave analysis system for cognitive and mental health tracking. Enhanced insights through live visualizations and predictive modeling.