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tejashribambal19/README.md

Tejashri Bambal


About Me

I am a student of Artificial Intelligence and Data Science with strong expertise in Full Stack Development and intelligent systems.

I enjoy building scalable web applications, designing AI-powered solutions, and creating data-driven systems that solve real-world problems.

My focus areas include:

  • Intelligent web systems
  • Machine learning applications
  • Backend architecture
  • Data-driven engineering

The Track Record

  • Full Stack Developer — Built scalable web applications using modern frontend and backend technologies.
  • AI & Data Enthusiast — Developed machine learning models for predictive insights and automation.
  • Backend Engineer — Strong experience with REST APIs, authentication systems, and database architecture.
  • Problem Solver — Solid foundation in Data Structures, Algorithms, and system-level thinking.

Key Projects

Crop AI

  • Developed an AI-powered agricultural assistance system that analyzes crop health using machine learning models.
  • Trained models on environmental and agricultural datasets to predict crop diseases and yield patterns.
  • Implemented backend APIs to process crop images and environmental data for prediction.
  • Designed a simple interface enabling farmers to upload crop data and receive AI-driven insights.

Fraud Monitor

  • Designed a fraud detection system using anomaly detection and classification algorithms.
  • Built backend services for monitoring financial transactions and identifying suspicious activity.
  • Implemented data analysis pipelines to detect unusual behavioral patterns in datasets.
  • Developed REST APIs enabling real-time fraud monitoring and integration with external systems.

Technical Stack

Programming Languages


Frontend Development


Backend Development


Databases


AI & Data


Tools & Platforms


GitHub Analytics

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    Use NLP to detect fake news articles and CV models to detect manipulated or deepfake videos. Provide a “trust score” for each content piece.

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    AI model that detects crop diseases from leaf images + predicts yield based on weather/soil data

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  3. Fraud-Monitor Fraud-Monitor Public

    Create an ML pipeline that detects anomalies in transaction patterns (amount, time, device, location) in real-time and flags suspicious activity.

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    Full-stack MERN fitness e-commerce platform with complete Admin dashboard, Razorpay payments, workout tracker, exercise library, AI chatbot, BMI and calorie calculators, nearby gym finder and trans…

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