// CS&E (AIML) Undergraduate · SRMIST

Phani
Koushik

Builder of Intelligent Systems.

I build AI-powered, full-stack products — from CNN waste classifiers to multilingual voice assistants. Currently pursuing B.Tech at SRMIST with a CGPA of 9.06.

Available for internships · 2026
Phani Koushik Reddipalli
SRMIST '27
AI/ML · 2026
01

Education

2023 – 2027
SRMIST, Kattankulathur
B.Tech in Computer Science Engineering — AIML Specialization
CGPA: 9.06
2021 – 2023
Gitam Junior College, Tirupati
Intermediate — Mathematics, Physics, Chemistry (MPC)
Grade: 80%
2020 – 2021
A P Model School
Secondary School Certificate (SSC)
Grade: 92%
02

About

I'm Phani Koushik Reddipalli, a Computer Science and Engineering undergraduate specializing in Artificial Intelligence & Machine Learning at SRMIST, Kattankulathur.

My work sits at the intersection of intelligent systems, web development, and data-driven problem solving. From training CNN-based waste classifiers to building full-stack voice AI applications — I love shipping things that actually work.

When I'm not coding, you'll find me sharpening problem-solving skills through DSA challenges or exploring new frameworks. I also hold an NCC 'A' Certificate and am an NMMS scholar.

EnglishTeluguKannadaHindiGermanTamil
9.06
CGPA @ SRMIST
3+
Projects Shipped
7
Certifications
5+
Languages Spoken
03

Skills

// Languages
PythonJavaC
// Core Concepts
DSAOOPProblem SolvingAlgorithms
// Web Technologies
HTMLCSSFlexboxReact.jsJavaScript
// AI / ML
Supervised LearningClassificationCNNRNN / LSTMNeural NetworksTensorFlow.js
// Libraries & Data
Scikit-learnPandasNumPyRandom ForestSVM
// Tools & Infra
GitHubMySQLSupabaseVercelREST APIsFigmaCanva
04

Projects

// 001

EcoVoice AI

Multilingual Environmental Intelligence System

AI-powered full-stack web app for waste classification, reusability analysis, and location-based guidance — driven by a multilingual voice interface.

  • Waste classification using CNN + Transfer Learning (~85% accuracy)
  • Real-time multilingual voice assistant via Web Speech API
  • 4+ integrated features: waste estimation, reusability & location guidance
  • Deployed on Vercel with REST APIs for real-time predictions
React.jsTensorFlow.jsWeb Speech APISupabaseREST APIsVercel
85%
Accuracy
// 002

Health Risk Predictor

ML-based Classification & Data Analysis

A machine learning pipeline predicting health risks via classification algorithms, feature engineering, and rigorous evaluation.

  • 80% accuracy using Random Forest and SVM ensemble
  • Data preprocessing, feature selection, and analysis pipeline
  • Evaluated using accuracy and standard evaluation metrics
PythonScikit-learnRandom ForestSVMPandasNumPy
80%
Accuracy
// 003

GuessMate

Decision-Based Interactive Guessing System

An interactive decision-tree web system that navigates structured yes/no flows to intelligently narrow down any outcome.

  • Handles multiple decision paths via structured tree logic
  • Responsive, user-friendly interface with dynamic question flow
  • Pure frontend implementation — zero external dependencies
ReactTypeScriptDecision TreesTanStack Router
AI
Logic
05

Certifications

Programming in Java
NPTEL · Oct 2024
🤖
Introduction to Machine Learning
NPTEL · Sep 2025
🧠
AI Agent Architect
IBM SkillsBuild · Jul 2025
☁️
AWS AI Practitioner Learning Plan
Amazon Web Services · Aug 2025
📐
Deep Learning Onramp
MathWorks · May 2025
💡
Introduction to OOP in C++
Coursera · Apr 2024
🌐
Cloud Virtual Internship
AICTE EduSkills (AWS Academy) · Jun 2025
06

Achievements

🎖️
NCC 'A' CertificateAwarded for demonstrated discipline, leadership, and teamwork.
🏆
National Means-cum-Merit Scholarship (NMMS)Awarded for sustained academic excellence.
07

Contact

Let's build something intelligent.

Open to internships, full-time roles, and collaborations in AI/ML, full-stack engineering, and product development. I respond within 24 hours.