I have built projects spanning AI-assisted interview practice and stock-price prediction. The project details below capture their purpose, capabilities, and technologies.
My project is Interview Mirror – AI Interview Performance Analyzer, Feb 2026, Jan 2026.
I developed Interview Mirror as an AI-powered platform for analyzing non-verbal communication during mock interviews. It uses webcam-based computer vision and real-time facial landmark tracking to assess eye contact, posture, stability, and confidence, and provides live metrics, personalized improvement suggestions, and an assessment report.
- I used Python, Streamlit, OpenCV, MediaPipe Face Mesh, NumPy, computer vision, artificial intelligence, and HTML/CSS. Its features include eye-contact and engagement tracking, posture and body-language assessment, movement and stability detection, confidence scoring, a live dashboard, and personalized feedback.
I published the Interview Mirror project at https://github.com/MahalekshmiAM/Interview-Mirror.git. The listed skills include Python, Streamlit, OpenCV, MediaPipe, computer vision, artificial intelligence, NumPy, and UI/UX design.
My project is PricePulse – Stock Price Prediction System, Mar 2025, Jan 2025.
I developed PricePulse to forecast future Adani Ports stock prices from historical market data using a Random Forest Regressor. It generates Buy, Sell, or Hold recommendations from predicted values and provides an interactive interface for analyzing stock trends.
- I built features for user registration and login, secure storage of user accounts, an admin dashboard for managing registered users, stock-price prediction, recommendation generation, and historical-data analysis and visualization. The technologies include Python, Random Forest Regressor, Flask, HTML, CSS, JavaScript, MySQL, Yahoo Finance API, Pandas, NumPy, and Scikit-learn.
I published PricePulse at https://github.com/MahalekshmiAM/PricePulse-Stock-Price-Prediction.git.