Adit Mugdha Das

Free-of-cost web platform for longitudinal cognitive monitoring and clinician-guided rehabilitation in multiple sclerosis. Features 35 adaptive cognitive tasks across 6 domains, digital biomarker extraction, bilingual Bengali/English support, and coordinated patient-clinician workflows.

DreamWeaver is an AI-powered Laravel platform that interprets dreams through emotion analysis and storytelling. It offers Dream Realms, Totems, riddles, guided audio, map exploration, and a Dream Library of AI-curated works. Users can analyze, save, and explore dreams, track emotion trends, access psychological support & connect to a Shared realm

Implementation of the Transformer architecture from scratch using TensorFlow and Keras, including multi-head attention, positional encoding, and encoder-decoder structures. This assignment is part of Week 4 of the "Sequence Models" course in the DeepLearning Specialization by Andrew Ng.

This is an implementation of univariate linear regression using gradient descent to fit a line to data. It applies the complete process of cost computation, gradient calculation, and iterative optimization. Part of Week 2 (Course 1) from the Machine Learning Specialization by Andrew Ng.

A curated collection of the Top 50 Dynamic Programming problems from LeetCode, solved in Python. Each file includes a clean, optimized solution to help strengthen core DP concepts like recursion, memoization, tabulation, and space optimization. Perfect for interview prep and mastering DP patterns.

A Python tool that uses the Google Places API to find nearby places in Bangladesh based on user-provided coordinates, radius, and type (e.g., restaurants, schools). Outputs detailed info in Excel and an interactive HTML map. Includes location validation and network handling.

A versatile desktop application designed to help users visualize, organize, and structure ideas efficiently. Ideal for brainstorming, planning, studying, and project management with a user-friendly interface and real-time editing.

EcoForge is an AI-powered ecological strategy simulation where Minimax, Monte Carlo, Q-learning, and DQN agents compete to manage planetary resources and maintain ecosystem stability.

This is our final project for Software Engineering and Project Management Laboratory course, where we build a minimarket place following the guidelines properly.